Relevant bibliographies by topics / Linear control systems Reliability

Academic literature on the topic 'Linear control systems Reliability'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Linear control systems Reliability"

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Jírová, Radka, Lubomír Pešík, and Robert Grega. "An Original Vibrodiagnostic Device to Control Linear Rolling Conveyor Reliability." Journal of Marine Science and Engineering 10, no. 3 (March 21, 2022): 445. http://dx.doi.org/10.3390/jmse10030445.

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On the basis of an analysis of the number of goods that are transported and handled in maritime transport, the ports for cargo ships may be considered as places with concentrated emissions. Reducing the emissions in ports can be achieved by shortening the stay times of cargo ships. The time that ships spend in ports may be reduced to the time that is required for the effective handling of the goods. One of the solutions for effective handling is using equipment with linear rolling systems. To prevent the idle time of cargo ships and the unnecessary increment of emissions in ports because of the possible failure of the linear rolling systems, their reliability and failure prediction are greatly required. Unfortunately, the common diagnostic systems of linear rolling systems in transportation practice still fail in particular cases of great external loads. Therefore, an original solution of the diagnostic system was designed on the basis of a load-free diagnostic part with a vibration sensor that is integrated into a carriage of the linear rolling system. A functional sample of the diagnostics was produced, and the vibrations that were measured on a loaded carriage and on the diagnostic part were compared in laboratory conditions under significant external loads. Encouraging results were reached by a time-domain analysis of the measured data. On the diagnostic part, the damage appeared clearly, while, on the loaded carriage, there were no observable signs of damage.
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Eryilmaz, Serkan, and Timur Aksoy. "Reliability of linear (n, f, k) systems with weighted components." Journal of Systems Science and Systems Engineering 19, no. 3 (May 25, 2010): 277–84. http://dx.doi.org/10.1007/s11518-010-5131-0.

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Tyncherov, Kamil T., Vyacheslav Sh Mukhametshin, Victor A. Krasnobaev, and Maria V. Selivanova. "Error Control Coding Algorithms in High Reliability Telemetry Systems." Symmetry 14, no. 7 (July 1, 2022): 1363. http://dx.doi.org/10.3390/sym14071363.

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In the oil and gas industry, in the process of drilling support (geosteering) and well telemetry, there is a problem of transmitting reliable information via wireless communication channels. The quality of such communication, as a rule, suffers due to the presence of errors caused by interference. As the depth of the well increases, the problem becomes more extensive. In order to solve the problem, it is proposed to choose noise-resistant coding in the system of residual classes. This system parallelizes the execution of arithmetic operations, has corrective abilities and organically adapts to the neural network basis of intelligent field management. At the same time, there are constraining factors for the mass application of the RNS; for example, difficulties in implementing non-modular procedures, forward and reverse coding, and some difficulties in identifying and correcting errors. That is why the task of improving the RNS seems relevant not only for oil and gas complexes, but also for any digital signal processing applications focused on intelligent neural network management on the basis of non-positional computing. The material of the article is limited to the study of the noise immunity of linear codes of the deduction system and the development of algorithms for detecting and correcting errors.
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Huo, Zhi Hong, Yuan Zheng, and Chang Xu. "Robust Reliability Design for Networked Control Systems Based on State Observers." Applied Mechanics and Materials 44-47 (December 2010): 1867–671. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.1867.

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Networked control systems with network-induced delay, packet loss and parameters uncertainty is modeled in this paper, consider the sensors that can’t send information to controller and the actuators that can’t receive information calculated and sent by the controller, the integrity design of the networked control system with sensors failures and actuators failures is analyzed based on robust fault-tolerant control theory. Parametric expression of controller is given based on feasible solution of linear matrix inequality. After detailed theoretical analysis, the simulation results is provided, which further demonstrated the proposed scheme.
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Radu, Alin, and Irina F. Lazar. "Reliability of controlled linear systems under Gaussian and non-Gaussian loads." International Journal of Dynamics and Control 7, no. 4 (July 16, 2019): 1489–500. http://dx.doi.org/10.1007/s40435-019-00562-5.

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Guo, Shu-Xiang. "An efficient reliability method for probabilistic H-infinity robust control of uncertain linear dynamic systems." Journal of Vibration and Control 21, no. 15 (January 24, 2014): 2946–58. http://dx.doi.org/10.1177/1077546313518957.

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Kwon, Wookyong, and Jaemin Baek. "Novel Summation-Type Triggering Condition on Event-Based Memory Output Feedback Control for Networked Control Systems." Electronics 9, no. 5 (May 8, 2020): 779. http://dx.doi.org/10.3390/electronics9050779.

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Networked control systems are widely spread, which is composed of numerous sensor and control nodes through communication channel. In this paper, an event-triggered H ∞ memory output feedback control (EMOFC) is investigated for networked control linear systems in discrete form. The memory control employing memorized past information is exploited to enhance the triggering intervals under event-triggered condition. Moreover, novel summation type event-triggering condition is newly proposed by utilizing buffer memory element. Based upon memory control and novel triggering conditions, the control design methodology is constructed for transformed input-delay model in forms of linear matrix inequalities (LMIs) adopting generalized free-weighting matrix summation inequality. As a result, the proposed scheme shows off the reduction of average signal transmission frequency and reliability while covering standard condition. Throughout numerical examples, the effectiveness is shown and the effect of memory element is analyzed.
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Zhu, Qixin, Kaihong Lu, and Yonghong Zhu. "H∞ Guaranteed Cost Fault-Tolerant Control of Double-Fault Networked Control Systems: Piecewise Delay Method." Mathematical Problems in Engineering 2019 (January 3, 2019): 1–19. http://dx.doi.org/10.1155/2019/6348727.

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The term double-fault networked control system means that sensor faults and actuator faults may occur simultaneously in networked control systems. The issues of modelling and an H∞ guaranteed cost fault-tolerant control in a piecewise delay method for double-fault networked control systems are investigated. The time-varying properties of sensor faults and actuator faults are modelled as two time-varying and bounded parameters. Based on the linear matrix inequality (LMI) approach, an H∞ guaranteed cost fault-tolerant controller in a piecewise delay method is proposed to guarantee the reliability and stability for the double-fault networked control systems. Simulations are included to demonstrate the theoretical results of the proposed method.
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Huo, Zhi Hong, Yuan Zheng, and Bo Qu. "Robust Reliability Design for Networked Control Systems Based on Information Scheduling." Advanced Materials Research 179-180 (January 2011): 43–48. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.43.

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This document explains and demonstrates how to prepare your camera-ready manuscript for Trans Tech Publications. The best is to read these instructions and follow the outline of this text. The text area for your manuscript must be 17 cm wide and 25 cm high (6.7 and 9.8 inches, resp.). Do not place any text outside this area. Use good quality, white paper of approximately 21 x 29 cm or 8 x 11 inches (please do not change the document setting from A4 to letter). Your manuscript will be reduced by approximately 20% by the publisher. Please keep this in mind when designing your figures and tables etc.Networked Control Systems (NCS) are systems with at least one loop closed through data networks. The existence of real-time network in the feedback control loop makes it more complex to analyze and design the NCS. In this paper, the networked control systems with network-induced delay, parameters uncertainty and packet loss which are induced by the limited bandwidth of communication networks is modeled, consider the sensors that can’t send information to controller and the actuators that can’t receive information calculated and sent by the controller, the integrity design of the networked control system with sensors failures and actuators failures is analyzed based on information scheduling and robust fault-tolerant control theory. Sufficient conditions, based on Lyapunov function method, are established in terms of linear matrix inequalities (LMIs). When these LMIs are feasible, the explicit expression of the controller can also be characterized. After detailed theoretical analysis, the simulation results is provided, which further demonstrated the proposed scheme.
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Jia, Qingxian, Huayi Li, Xueqin Chen, and Yingchun Zhang. "Observer-based reaction wheel fault reconstruction for spacecraft attitude control systems." Aircraft Engineering and Aerospace Technology 91, no. 10 (November 4, 2019): 1268–77. http://dx.doi.org/10.1108/aeat-07-2018-0203.

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Purpose The purpose of this paper is to achieve fault reconstruction for reaction wheels in spacecraft attitude control systems (ACSs) subject to space disturbance torques. Design/methodology/approach Considering the influence of rotating reaction wheels on spacecraft attitude dynamics, a novel non-linear learning observer is suggested to robustly reconstruct the loss of reaction wheel effectiveness faults, and its stability is proven using Lyapunov’s indirect method. Further, an extension of the proposed approach to bias faults reconstruction for reaction wheels in spacecraft ACSs is performed. Findings The numerical example and simulation demonstrate the effectiveness of the proposed fault-reconstructing methods. Practical implications This paper includes implications for the development of reliability and survivability of on-orbit spacecrafts. Originality/value This paper proposes a novel non-linear learning observer-based reaction wheels fault reconstruction for spacecraft ACSs.
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Dissertations / Theses on the topic "Linear control systems Reliability"

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Salazar, Cortés Jean Carlo. "Contribution to reliable control of dynamic systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/669250.

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This thesis presents sorne contributions to the field of Health-Aware Control (HAC) of dynamic systems. In the first part of this thesis, a review of the concepts and methodologies related to reliability versus degradation and fault tolerant control versus health-aware control is presented. Firstly, in an attempt to unify concepts, an overview of HAC, degradation, and reliability modeling including some of the most relevant theoretical and applied contributions is given. Moreover, reliability modeling is formalized and exemplified using the structure function, Bayesian networks (BNs) and Dynamic Bayesian networks (DBNs) as modeling tools in reliability analysis. In addition, some Reliability lmportance Measures (RIMs) are presented. In particular, this thesis develops BNs models for overall system reliability analysis through the use of Bayesian inference techniques. Bayesian networks are powerful tools in system reliability assessment due to their flexibility in modeling the reliability structure of complex systems. For the HAC scheme implementation, this thesis presents and discusses the integration of actuators health information by means of RIMs and degradation in Model Predictive Control (MPC) and Linear Quadratic Regulator algorithms. In the proposed strategies, the cost function parameters are tuned using RIMs. The methodology is able to avoid the occurrence of catastrophic and incipient faults by monitoring the overall system reliability. The proposed HAC strategies are applied to a Drinking Water Network (DWN) and a multirotor UAV system. Moreover, a third approach, which uses MPC and restricts the degradation of the system components is applied to a twin rotor system. Finally, this thesis presents and discusses two reliability interpretations. These interpretations, namely instantaneous and expected, differ in the manner how reliability is evaluated and how its evolution along time is considered. This comparison is made within a HAC framework and studies the system reliability under both approaches.
Aquesta tesi presenta algunes contribucions al camp del control basat en la salut dels components "Health-Aware Control" (HAC) de sistemes dinàmics. A la primera part d'aquesta tesi, es presenta una revisió dels conceptes i metodologies relacionats amb la fiabilitat versus degradació, el control tolerant a fallades versus el HAC. En primer lloc, i per unificar els conceptes, s'introdueixen els conceptes de degradació i fiabilitat, models de fiabilitat i de HAC incloent algunes de les contribucions teòriques i aplicades més rellevants. La tesi, a més, el modelatge de la fiabilitat es formalitza i exemplifica utilitzant la funció d'estructura del sistema, xarxes bayesianes (BN) i xarxes bayesianes dinamiques (DBN) com a eines de modelat i anàlisi de la fiabilitat com també presenta algunes mesures d'importància de la fiabilitat (RIMs). En particular, aquesta tesi desenvolupa models de BNs per a l'anàlisi de la fiabilitat del sistema a través de l'ús de tècniques d'inferència bayesiana. Les xarxes bayesianes són eines poderoses en l'avaluació de la fiabilitat del sistema gràcies a la seva flexibilitat en el modelat de la fiabilitat de sistemes complexos. Per a la implementació de l?esquema de HAC, aquesta tesi presenta i discuteix la integració de la informació sobre la salut i degradació dels actuadors mitjançant les RIMs en algoritmes de control predictiu basat en models (MPC) i control lineal quadràtic (LQR). En les estratègies proposades, els paràmetres de la funció de cost s'ajusten utilitzant els RIMs. Aquestes tècniques de control fiable permetran millorar la disponibilitat i la seguretat dels sistemes evitant l'aparició de fallades a través de la incorporació d'aquesta informació de la salut dels components en l'algoritme de control. Les estratègies de HAC proposades s'apliquen a una xarxa d'aigua potable (DWN) i a un sistema UAV multirrotor. A més, un tercer enfocament fent servir la degradació dels actuadors com a restricció dins l'algoritme de control MPC s'aplica a un sistema aeri a dos graus de llibertat (TRMS). Finalment, aquesta tesi també presenta i discuteix dues interpretacions de la fiabilitat. Aquestes interpretacions, nomenades instantània i esperada, difereixen en la forma en què s'avalua la fiabilitat i com es considera la seva evolució al llarg del temps. Aquesta comparació es realitza en el marc del control HAC i estudia la fiabilitat del sistema en tots dos enfocaments.
Esta tesis presenta algunas contribuciones en el campo del control basado en la salud de los componentes “Health-Aware Control” (HAC) de sistemas dinámicos. En la primera parte de esta tesis, se presenta una revisión de los conceptos y metodologíasrelacionados con la fiabilidad versus degradación, el control tolerante a fallos versus el HAC. En primer lugar, y para unificar los conceptos, se introducen los conceptos de degradación y fiabilidad, modelos de fiabilidad y de HAC incluyendo algunas de las contribuciones teóricas y aplicadas más relevantes. La tesis, demás formaliza y ejemplifica el modelado de fiabilidad utilizando la función de estructura del sistema, redes bayesianas (BN) y redes bayesianas diná-micas (DBN) como herramientas de modelado y análisis de fiabilidad como también presenta algunas medidas de importancia de la fiabilidad (RIMs). En particular, esta tesis desarrolla modelos de BNs para el análisis de la fiabilidad del sistema a través del uso de técnicas de inferencia bayesiana. Las redes bayesianas son herramientas poderosas en la evaluación de la fiabilidad del sistema gracias a su flexibilidad en el modelado de la fiabilidad de sistemas complejos. Para la implementación del esquema de HAC, esta tesis presenta y discute la integración de la información sobre la salud y degradación de los actuadores mediante las RIMs en algoritmos de control predictivo basado en modelos (MPC) y del control cuadrático lineal (LQR). En las estrategias propuestas, los parámetros de la función de coste se ajustan utilizando las RIMs. Estas técnicas de control fiable permitirán mejorar la disponibilidad y la seguridad de los sistemas evitando la aparición de fallos a través de la incorporación de la información de la salud de los componentes en el algoritmo de control. Las estrategias de HAC propuestas se aplican a una red de agua potable (DWN) y a un sistema UAV multirotor. Además, un tercer enfoque que usa la degradación de los actuadores como restricción en el algoritmo de control MPC se aplica a un sistema aéreo con dos grados de libertad (TRMS). Finalmente, esta tesis también presenta y discute dos interpretaciones de la fiabilidad. Estas interpretaciones, llamadas instantánea y esperada, difieren en la forma en que se evalúa la fiabilidad y cómo se considera su evolución a lo largo del tiempo. Esta comparación se realiza en el marco del control HAC y estudia la fiabilidad del sistema en ambos enfoques.
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Karimi, Pour Fatemeh. "Health-aware predictive control schemes based on industrial processes." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2020. http://hdl.handle.net/10803/673045.

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The research is motivated by real applications, such as pasteurization plant, water networks and autonomous system, which each of them require a specific control system to provide proper management able to take into account their particular features and operating limits in presence of uncertainties related to their operation and failures from component breakdowns. According to that most of the real systems have nonlinear behaviors, it can be approximated them by polytopic linear uncertain models such as Linear Parameter Varying (LPV) and Takagi-Sugeno (TS) models. Therefore, a new economic Model Predictive Control (MPC) approach based on LPV/TS models is proposed and the stability of the proposed approach is certified by using a region constraint on the terminal state. Besides, the MPC-LPV strategy is extended based on the system with varying delays affecting states and inputs. The control approach allows the controller to accommodate the scheduling parameters and delay change. By computing the prediction of the state variables and delay along a prediction time horizon, the system model can be modified according to the evaluation of the estimated state and delay at each time instant. To increase the system reliability, anticipate the appearance of faults and reduce the operational costs, actuator health monitoring should be considered. Regarding several types of system failures, different strategies are studied for obtaining system failures. First, the damage is assessed with the rainflow-counting algorithm that allows estimating the component’s fatigue and control objective is modified by adding an extra criterion that takes into account the accumulated damage. Besides, two different health-aware economic predictive control strategies that aim to minimize the damage of components are presented. Then, economic health-aware MPC controller is developed to compute the components and system reliability in the MPC model using an LPV modeling approach and maximizes the availability of the system by estimating system reliability. Additionally, another improvement considers chance-constraint programming to compute an optimal list replenishment policy based on a desired risk acceptability level, managing to dynamically designate safety stocks in flowbased networks to satisfy non-stationary flow demands. Finally, an innovative health-aware control approach for autonomous racing vehicles to simultaneously control it to the driving limits and to follow the desired path based on maximization of the battery RUL. The proposed approach is formulated as an optimal on-line robust LMI based MPC driven from Lyapunov stability and controller gain synthesis solved by LPV-LQR problem in LMI formulation with integral action for tracking the trajectory.
Esta tesis pretende proporcionar contribuciones teóricas y prácticas sobre seguridad y control de sistemas industriales, especialmente en la forma maten ática de sistemas inciertos. La investigación está motivada por aplicaciones reales, como la planta de pasteurización, las redes de agua y el sistema autónomo, cada uno de los cuales requiere un sistema de control específico para proporcionar una gestión adecuada capaz de tener en cuenta sus características particulares y limites o de operación en presencia de incertidumbres relacionadas con su operación y fallas de averías de componentes. De acuerdo con que la mayoría de los sistemas reales tienen comportamientos no lineales, puede aproximarse a ellos mediante modelos inciertos lineales politopicos como los modelos de Lineal Variación de Parámetros (LPV) y Takagi-Sugeno (TS). Por lo tanto, se propone un nuevo enfoque de Control Predictivo del Modelo (MPC) económico basado en modelos LPV/TS y la estabilidad del enfoque propuesto se certifica mediante el uso de una restricción de región en el estado terminal. Además, la estrategia MPC-LPV se extiende en función del sistema con diferentes demoras que afectan los estados y las entradas. El enfoque de control permite al controlador acomodar los parámetros de programación y retrasar el cambio. Al calcular la predicción de las variables de estado y el retraso a lo largo de un horizonte de tiempo de predicción, el modelo del sistema se puede modificar de acuerdo con la evaluación del estado estimado y el retraso en cada instante de tiempo. Para aumentar la confiabilidad del sistema, anticipar la aparición de fallas y reducir los costos operativos, se debe considerar el monitoreo del estado del actuador. Con respecto a varios tipos de fallas del sistema, se estudian diferentes estrategias para obtener fallas del sistema. Primero, el daño se evalúa con el algoritmo de conteo de flujo de lluvia que permite estimar la fatiga del componente y el objetivo de control se modifica agregando un criterio adicional que tiene en cuenta el daño acumulado. Además, se presentan dos estrategias diferentes de control predictivo económico que tienen en cuenta la salud y tienen como objetivo minimizar el daño de los componentes. Luego, se desarrolla un controlador MPC económico con conciencia de salud para calcular los componentes y la confiabilidad del sistema en el modelo MPC utilizando un enfoque de modelado LPV y maximiza la disponibilidad del sistema mediante la estimación de la confiabilidad del sistema. Además, otra mejora considera la programación de restricción de posibilidades para calcular una política ´optima de reposición de listas basada en un nivel de aceptabilidad de riesgo deseado, logrando designar dinámicamente existencias de seguridad en redes basadas en flujo para satisfacer demandas de flujo no estacionarias. Finalmente, un enfoque innovador de control consciente de la salud para vehículos de carreras autónomos para controlarlo simultáneamente hasta los límites de conducción y seguir el camino deseado basado en la maximización de la bacteria RUL. El diseño del control se divide en dos capas con diferentes escalas de tiempo, planificador de ruta y controlador. El enfoque propuesto está formulado como un MPC robusto en línea optimo basado en LMI impulsado por la estabilidad de Lyapunov y la síntesis de ganancia del controlador resuelta por el problema LPV-LQR en la formulación de LMI con acción integral para el seguimiento de la trayectoria.
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Mhana, Khalid Jalal. "Optimal control of non-linear systems." Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.412720.

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Nankoo, Daniel. "Linear systems and control structure selection." Thesis, City University London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397927.

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Malakorn, Tanit. "Multidimensional Linear Systems and Robust Control." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/26845.

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This dissertation contains two parts: Commutative and Noncommutative Multidimensional ($d$-D) Linear Systems Theory. The first part focuses on the development of the interpolation theory to solve the $H^{\infty}$ control problem for $d$-D linear systems. We first review the classical discrete-time 1D linear system in the operator theoretical viewpoint followed by the formulations of the so-called Givone-Roesser and Fornasini-Marchesini models. Application of the $d$-variable $Z$-transform to the system of equations yields the transfer function which is a rational function of several complex variables, say $\mathbf{z} = (z_{1}, \dots, z_{d})$. We then consider the output feedback stabilization problem for a plant $P(\mathbf{z})$. By assuming that $P(\mathbf{z})$ admits a double coprime factorization, then a set of stabilizing controllers $K(\mathbf{z})$ can be parametrized by the Youla parameter $Q(\mathbf{z})$. By doing so, one can convert such a problem to the model matching problem with performance index $F(\mathbf{z})$, affine in $Q(\mathbf{z})$. Then, with $F(\mathbf{z})$ as the design parameter rather than $Q(\mathbf{z})$, one has an interpolation problem for $F(\mathbf{z})$. Incorporation of a tolerance level on $F(\mathbf{z})$ then leads to an interpolation problem of multivariable Nevanlinna-Pick type. We also give an operator-theoretic formulation of the model matching problem which lends itself to a solution via the commutant lifting theorem on the polydisk. The second part details a system whose time-axis is described by a free semigroup $\mathcal{F}_{d}$. Such a system can be represented by the so-called noncommutative Givone-Roesser, or noncommutative Fornasini-Marchesini models which are analogous to those in the first part. Application of a noncommutative $d$-variable $Z$-transform to the system of equations yields the transfer function expressed by a formal power series in several noncommuting indeterminants, say $T(z) = \sum_{v \in \mathcal{F}_{d}}T_{v}z^{v}$ where $z^{v} = z_{i_{n}} \dotsm z_{i_{1}}$ if $v = g_{i_{n}} \dotsm g_{i_{1}} \in \mathcal{F}_{d}$ and $z_{i}z_{j} \neq z_{j}z_{i}$ unless $i = j$. The concepts of reachability, controllability, observability, similarity, and stability are introduced by means of the state-space interpretation. Minimal realization problems for noncommutative Givone-Roesser or Fornasini-Marchesini systems are solved directly by a shift-realization procedure constructed from appropriate noncommutative Hankel matrices. This procedure adapts the ideas of Schützenberger and Fliess originally developed for "recognizable series" to our systems.
Ph. D.
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Mu, Huiying. "Predictive control of linear uncertain systems." Thesis, Imperial College London, 2007. http://hdl.handle.net/10044/1/8515.

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Predictive control is a very useful tool in controlling constrained systems, since the constraints can be satisfied explicitly by the optimisations. Sets, namely, reachable sets, controllable sets, invariant sets, etc, play fundamental roles in designing predictive control strategies for uncertain systems. Meanwhile, in addition to the commonly assumed boundedness of the uncertainty, the explicit use of its stochastic properties can lead to improvement in system response. This thesis is concerned with robust set theories, mainly for reachable sets, with applications to time-optimal control; and the use of stochastic properties of the uncertainty to achieve less conservative controls. In the first part of this thesis, we focus on LTI systems subject to, additional to the usual constraints, a constraint on the control change between sample times. One key ingredient in controlling such constrained systems is the initial control value, which, via analyses and simulations, is shown to be a useful extra degree of freedom. Reachable sets that incorporate this influential initial control value are derived and analyzed, with theoretical as well as computational algorithms developed for both nominal and uncertain systems under different types of feedback policy. Following this, the reachable set is discussed in connection with time-optimal control to obtain desired control laws. In addition, controllable sets, stabilisable sets and invariant sets for such constrained uncertain systems are studied. In the second part, the uncertainties are assumed to have stochastic properties. They are exploited in three different ways: the expected worst-case is used instead of the worst-case to achieve less conservative control even when the uncertainty is relatively large; the stochastic invariant set is proposed to provide alternative methods for approximating disturbance invariant sets; the relaxed set difference is developed to obtain less restrictive controls and/or replacing probabilistic constraint or slack variables.
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Tse, Wilfred See Foon. "Linear equivalents of nonlinear systems." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26652.

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Consider the following nonlinear system [Formula Omitted] where ϰ ∈ Rⁿ, f, ℊ₁,…,ℊｍ are C∞ function in Rⁿ and ℎ is a C∞ function in R⍴, all defined on a neighborhood of 0. The problem of finding a necessary and sufficient condition such that system (1) can be transformed to a linear controllable system by a state coordinate change and feedback has been studied quite well. In this thesis, we first discuss a few different approaches to this problem and eventually we will show that the slightly different versions of the necessary and sufficient condition discovered are equivalent. Next we consider system (1) with all սi,= 0 together with system (2), and study the dual problem of transforming it to a linear observable system by a state and output coordinate change. Finally, we consider briefly system (l) and (2) with nonzero սi and study the problem of transforming it to a linear system that is both completely controllable and observable. Examples are given and applications to local stabilization and estimation are discussed.
Science, Faculty of
Mathematics, Department of
Graduate
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Pechev, Alexandre Nikolov. "Robust linear and non-linear control of magnetically levitated systems." Thesis, Cardiff University, 2004. http://orca.cf.ac.uk/55944/.

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The two most advanced applications of contactless magnetic levitation are high-speed magnetic bearings and magnetically levitated vehicles (Maglev) for ground transportation using superconducting magnets and controlled d.c. electromagnets. The repulsion force from superconducting magnets provide stable levitation with low damping, while the suspension force generated by electromagnets is inherently unstable. This instability, due to the in verse force-distance relationship, requires the addition of feedback controllers to sustain stable suspension. The problem of controlling magnetically levitated systems using d.c. electromagnets under different operating conditions has been studied in this thesis with a design process primarily driven by experimental results from a representative single-magnet test rig and a multi-magnet vehicle. The controller-design stages are presented in detail and close relationships have been constructed between selection of performance criteria for the derivation process and desired suspension characteristics. Both linear and nonlinear stabilising compensators have been developed. Simulation and experimental results have been studied in parallel to assess operational stability and the main emphasis has been given to assessing performance under different operational conditions. For the experimental work, a new digital signal processor-based hardware platform has been designed, built with interface to Matlab/Simulink. The controller design methods and algorithmic work presented in this thesis can be divided into: non-adaptive, adaptive, optimal linear and nonlinear. Adaptive algorithms based on model reference control have been developed to improve the performance of the suspension system in the presence of considerable variations in external payload and force disturbances. New design methods for Maglev suspension have been developed using robust control theory (%oo and fi synthesis). Single- and multi-magnet control problems have been treated using the same framework. A solution to the Hoo controller-optimisation problem has been derived and applied to Maglev control. The sensitivity to robustness has been discussed and tools for assessing the robustness of the closed-loop system in terms of sustaining stability and performance in the presence of uncertainties in the suspension model have been presented. Multivariable controllers based on %00 and /i synthesis have been developed for a laboratory scale experimental vehicle weighing 88 kg with four suspension magnets, and experimental results have been derived to show superiority of the proposed design methods in terms of ability to deal with external disturbances. The concept of Hoo control has been extended to the nonlinear setting using the concepts of energy and dissipativity, and nonlinear state-feedback and out put-feed back controllers for Maglev have been developed and reported. Simulation and experimental results have been presented to show the improved performance of these controllers to attenuate guideway-induced disturbances while maintaining acceptable suspension qualities and larger operational bandwidth.
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9

Hadad, Zarif M. "Structural properties of linear systems." Thesis, City University London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332557.

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Kalogeropoulos, G. E. "Matrix pencils and linear systems theory." Thesis, City University London, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355580.

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Books on the topic "Linear control systems Reliability"

1

1979-, Ye Dan, ed. Reliable control and filtering of linear systems with adaptive mechanisms. Boca Raton: Taylor & Francis, 2011.

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L, Melsa James, Schultz Donald G, and Melsa James L, eds. Linear control systems. New York: McGraw-Hill, 1993.

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Melsa, James L. Linear control systems. New York: McGraw-Hill, 1993.

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Kaczorek, T. Linear control systems. Taunton, Somerset, England: Research Studies Press, 1992.

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Kisačanin, Branislav, and Gyan C. Agarwal. Linear Control Systems. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0553-2.

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Antsaklis, Panos J. Linear systems. New York: McGraw-Hill, 1997.

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G, Chen. Linear stochastic control systems. Boca Raton: CRC Press, 1995.

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Driels, Morris R. Linear control systems engineering. New York: McGraw-Hill, 1996.

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N, Fomin V. Discrete linear control systems. Dordrecht: Kluwer Academic Publishers, 1991.

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N, Fomin V. Discrete Linear Control Systems. Dordrecht: Springer Netherlands, 1991.

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Book chapters on the topic "Linear control systems Reliability"

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Naess, A., D. Iourtchenko, and O. Batsevych. "Reliability of Linear and Nonlinear Dynamic Systems under Multiplicative and Additive Noise." In IUTAM Symposium on Nonlinear Stochastic Dynamics and Control, 65–75. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0732-0_7.

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Eligar, Sanjay, and R. M. Banakar. "Estimation of Velocity from Linear Displacement Using FIR Filter." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, 361–68. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_40.

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Parlikar, A. S., and P. D. Dahe. "Application of Linear Programming - Genetic Algorithm Combination for Urmodi Reservoir Operation." In ICRRM 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, 98–103. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8507-0_16.

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Bhattacharyya, S. P., L. H. Keel, and D. N. Mohsenizadeh. "Application to Control Systems." In Linear Systems, 71–80. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1641-4_5.

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Zabczyk, Jerzy. "Linear control systems." In Systems & Control: Foundations & Applications, 203–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44778-6_14.

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Kurzhanski, Alexander B., and Pravin Varaiya. "Linear Control Systems." In Systems & Control: Foundations & Applications, 1–46. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10277-1_1.

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Zabczyk, Jerzy. "Linear control systems." In Mathematical Control Theory, 176–205. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4733-9_13.

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Pommaret, J. F. "Linear Control Systems." In Partial Differential Control Theory, 567–786. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0854-9_6.

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Zaslavski, Alexander J. "Linear Control Systems." In SpringerBriefs in Optimization, 105–24. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01240-7_4.

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Afanas’ev, V. N., V. B. Kolmanovskii, and V. R. Nosov. "Linear Control Systems." In Mathematical Theory of Control Systems Design, 239–300. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-017-2203-2_6.

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Conference papers on the topic "Linear control systems Reliability"

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Baili, Hana. "Sequential Linear-Dynamic Programming for Reliability Control in Wind Energy Conversion Systems." In 2021 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS). IEEE, 2021. http://dx.doi.org/10.1109/apccas51387.2021.9687747.

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Marano, G. C., F. Trentadue, and B. Chiaia. "Stochastic Reliability Based Design Criteria for Linear Structure Subject to Random Vibrations." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95458.

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Random vibration is a common state in many real structural problems concerning dynamic environment loads, as base excitation induced by rotating machinery or wind loads. In this work a full stochastic approach for optimal design of linear structures subject to random dynamic loads is presented. By adopting a covariance approach a reliability based optimum criterion is developed, where both objective function (OF) and constraints are defined in a stochastic way. This criterion can be applied both for stationary and for non stationary vibration conditions. Constraints impose a limit to failure probability, here associated with the first threshold crossing of a structural displacement, while the inertial acceleration variance or the elastic force variance are minimized in order to control vibration effects. Two applications are developed for simple structural vibration control problems to evaluate the efficiency of the proposed criterion. The first regards a vibration absorber modelled by a SDoF, while the second is a tuned mass damper represented by a TDoF. Both cases are subject to filtered white noise.
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Chen, Brian, and Jen-Yuan (James) Chang. "Mechatronic Integration of Magnetic Linear Encoding Medium Manufacturing." In ASME 2014 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/isps2014-6936.

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Linear encoder has been widely used in various position controls in industries, especially in machinery industry. The purpose of using linear encoders is to give precise position control in dynamic applications. Furthermore, using linear encoders helps minimize errors caused by human or mechanical problems such as backlash and thermal expansion [2]. There are various types of linear encoders such as mechanical, optical, magnetic, etc. Nevertheless, magnetic encoders are able to withstand harsh environment such as oil, grease, and dust much effective than the rest. Magnetic encoders have several advantageous qualities: low cost, fast response, and high reliability [1, 3]. Figure 1 shows the magnetic field of a magnetic scale where the yellow curves indicate the change of magnetic poles. The upper half of the scale is the incremental mark and the bottom half is the reference mark. Prior to magnetization, the scale has only the incremental mark, and the magnetizing process is to magnetize bottom half of the incremental mark into reference mark as shown in Fig. 1.
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Atamanyuk, Igor, Vyacheslav Shebanin, Yuriy Kondratenko, Yuriy Volosyuk, Oleksii Sheptylevskyi, and Valeriia Atamaniuk. "Predictive Control of Electrical Equipment Reliability on the Basis of the Non-linear Canonical Model of a Vector Random Sequence." In 2019 IEEE International Conference on Modern Electrical and Energy Systems (MEES). IEEE, 2019. http://dx.doi.org/10.1109/mees.2019.8896569.

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Jiang, Li, Dragan Djurdjanovic, and Jun Ni. "A New Method for Sensor Degradation Detection, Isolation and Compensation in Linear Systems." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43819.

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The performance of machines and equipment degrades as a result of aging and wear. This decreases performance reliability and increases the potential for faults and failures. To ensure proper functionality of complex systems, advanced technologies for performance diagnosis and control are being incorporated into engineering designs, which requires an ever-increasing number of sensors and measurement devices. Nevertheless, a sensor, just as any other dynamic system, degrades and fails. A faulty sensor may cause process performance degradation, process shut down, or even a fatal accident because it is no longer able to deliver accurate information about the monitored system. Therefore, it is essential to assess sensor performance to ensure system reliability. In this paper, a method is proposed to detect, isolate, and compensate sensor degradation. The numerical algorithm for subspace state space system identification is used to track the changes of the time constants and gains of the sensor and the monitored system. Without imposing requirements for redundant sensors and measurement devices, this method utilizes the fact that sensor readings depict dynamic characteristics of the sensors as well as those of the monitored system. The newly proposed method is verified in angular sensor degradation detection using high-fidelity simulations of an automotive electronic throttle system.
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Fernandez, Charles, Shashi Bhushan Kumar, Wai Lok Woo, Rosemary Norman, and Arun Kr. Dev. "Real-Time Prediction of Reliability of Dynamic Positioning Sub-Systems for Computation of Dynamic Positioning Reliability Index (DP-RI) Using Long Short Term Memory (LSTM)." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18844.

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Abstract In this study, a framework using Long Short Term Memory (LSTM) for prediction of reliability of Dynamic Positioning (DP) sub-systems for computation of Dynamic Positioning Reliability Index (DP-RI) has been proposed. The DP System is complex with significant levels of integration between many sub-systems such as the Reference System, DP Control System, Thruster / Propulsion System, Power System, Electrical System and the Environment System to perform diverse control functions. The proposed framework includes a mathematical computation approach to compute reliability of DP sub-systems and a data driven approach to predict the reliability at a sub-system level for evaluation of model performance and accuracy. The framework results demonstrate excellent performance under a wide range of data availability and guaranteed lower computational burden for real-time non-linear optimization. There are three main components of the proposed architecture for the mathematical formulation of the DP sub-systems based on individual sensor arrangements within the sub-system, computation of reliability of sub-systems and optimized LSTM deep learning algorithm for prediction of its reliability. Firstly, the mathematical formulation for the reliability of sub-systems is determined based on the series/parallel arrangement of the sensors of each individual equipment item within the sub-systems. Secondly, the computation of the reliability of sub-systems is achieved through an integrated approach during complex operation of the vessel. Thirdly, the novel optimized LSTM network is constructed to predict the reliability of the subsystems while minimizing integral errors in the algorithm. In this paper, numerical simulations are set-up using a state-of-the-art advisory decision-making tool with mock-up and real-world data to give insights into the model performance and validate it against the existing risk assessment methodologies. Furthermore, we have analyzed the efficiency and stability of the proposed model against various levels of data availability. In conclusion the prediction accuracy of the proposed model is scalable and higher when compared with other model results.
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Chang, Li, and Han Xing. "A Calculation Method of 3 Degrees of Freedom and Non-Linear Random Gear-Driven System Vibration Reliability." In The 6th International Conference on Electrical and Control Engineering (ICECE2015) and The 4th International Conference on Materials Science and Manufacturing (ICMSM2015). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813100312_0059.

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Maradey Lazaro, Jessica Gissella, Kevin Sebastián Cáceres Mojica, and Silvia Juliana Navarro Quintero. "Advanced Control Techniques for Semi-Active Suspension Systems." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24447.

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Abstract Semiactive suspension system provides comfort and precise support for any type of driving in vehicles. Their main feature consists in the modification of the damping coefficient by applying an external control. Commonly, these suspensions work with non-linear dampers, such as magnetorheological, electrorheological, pneumatic, dry friction, among others; which generate a discontinuous behavior of force, causing an annoying noise known as “chattering”; however, this can be deleted by the correct application of the control technique. So, control strategy selection is a key task in the modeling of dynamic behavior and to describe the variation of characteristics, as well as to achieve the best vehicle’s driving experience in terms of comfort, performance, reliability, stability, and safety. This article shows three advanced control techniques used to design a semi-active vehicle suspension taking the quarter car as the model. From the review of the state of the art, relevant works and authors on the subject are reported. After, the application of the control techniques is shown together with the results obtained, specially, the performance of the system is carried out by means of computer simulations in the Matlab/Simulink virtual environment, accompanied by near-reality disturbances to verify the effectiveness of this study.
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Madhag, Aqeel, and Guoming George Zhu. "Online Sensor Noise Covariance Identification Using a Modified Adaptive Filter." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5075.

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Modern control systems heavily relay on sensors for closed-loop feedback control. Degradation of sensor performance due to sensor aging affects the closed-loop system performance, reliability, and stability. Sensor aging characterized by the sensor measurement noise covariance. This paper proposes an algorithm used to identify the slow varying sensor noise covariance online based on system sensor measurements. The covariance-matching technique, along with the adaptive Kalman filter is utilized based on the information about the quality of weighted innovation sequence to estimate the slow time-varying sensor noise covariance. The sequential manner of the proposed algorithm leads to significant reduction of the computational load. The covariance-matching of the weighted innovation sequence improves the prediction accuracy and reduces the computational load, which makes it suitable for online applications. Simulation results show that the proposed algorithm is capable of estimating the slow time-varying sensor noise covariance for MIMO systems with white noise whose covariance varies linearly, exponentially, or linearly with added sinusoid perturbation. Furthermore, the proposed estimation algorithm shows a reasonable convergence rate.
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Narimani, A., and M. F. Golnaraghi. "Modeling and Control of Magnetorheological Dampers for Vibration Isolation." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42467.

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Semi-active isolators offer significant improvement in performance over passive isolators. These systems benefit from the advantages of active systems with the reliability of the passive systems. In this work we study a vibration isolation system with a magnetorheological (MR) damper. The experimental investigation of the mechanical properties of a commercially available linear MR damper (RD-1005-3) was conducted next. The mathematical Bouc-Wen model was adopted to predict the performance of MR damper. In addition, a modified Bingham model has been developed to characterize the damper behavior more accurately and efficiently. The measured hysteresis characteristics of field-dependent damping forces are compared with the simulation results from the described mathematical models. The accuracy of a damping-force controller using the proposed method is also demonstrated experimentally. Finally, a scaled quarter car model is set up to study the performance of the control strategy. The experimental results show that with the semi-active control the vibration of the quarter car model is well controlled.
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Reports on the topic "Linear control systems Reliability"

1

Somayaji, Anil B., Wendy A. Amai, and Eleanor A. Walther. An immunological basis for high-reliability systems control. Office of Scientific and Technical Information (OSTI), March 2005. http://dx.doi.org/10.2172/922089.

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Helton, J. W. H Infinity Control for Nonlinear and Linear Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1994. http://dx.doi.org/10.21236/ada280450.

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Kamen, Edward W. Control of Linear Systems Over Commutative Normed Algebras with Applications. Fort Belvoir, VA: Defense Technical Information Center, February 1987. http://dx.doi.org/10.21236/ada178765.

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Speyer, Jason L. Estimation and Control for Linear Systems with Additive Cauchy Noise. Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada598079.

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Scheinker, Alexander. Introduction to Control Theory. Part 2. Laplace Transforms and Linear Systems. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1214624.

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Campbell, Stephen L., and William J. Terrell. Derivative Arrays, Geometric Control Theory, and Realizations of Linear Descriptor Systems. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada190882.

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Rosenkrantz, W. A. Mathematical Problems in Stability, Control and Reliability of Random Access Communication Systems. Fort Belvoir, VA: Defense Technical Information Center, June 1985. http://dx.doi.org/10.21236/ada159402.

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Emre, Erol. On a Theory of Control for Linear Systems Over Rings and Nonlinear/Time-Varying Systems. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada162680.

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Spillman, Mark S., and D. B. Ridgely. A Fixed-Order, Mixed H2/L1 Control Synthesis Method for Continuous Linear Systems,. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada320240.

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Farrington, R. Reliability testing of active SDHW components. Part I. Test results of sensors used in control systems. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/6196489.

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