Bibliographies thématiques / Input-constrained systems

Littérature scientifique sur le sujet « Input-constrained systems »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "Input-constrained systems"

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Soroush, Masoud, Sairam Valluri et Nasir Mehranbod. « Nonlinear control of input-constrained systems ». Computers & ; Chemical Engineering 30, no 1 (novembre 2005) : 158–81. http://dx.doi.org/10.1016/j.compchemeng.2005.08.013.

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Hägg, Per, Christian A. Larsson, Afrooz Ebadat, Bo Wahlberg et Häkan Hjalmarsson. « Input Signal Generation for Constrained Multiple-Input Multple-Output Systems ». IFAC Proceedings Volumes 47, no 3 (2014) : 1410–15. http://dx.doi.org/10.3182/20140824-6-za-1003.02289.

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Park, Bong Seok, Jae Young Lee, Jin Bae Park et Yoon Ho Choi. « Adaptive control for input-constrained linear systems ». International Journal of Control, Automation and Systems 10, no 5 (30 septembre 2012) : 890–96. http://dx.doi.org/10.1007/s12555-012-0504-4.

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Abel, Imoleayo, Mrdjan Jankovic et Miroslav Krstić. « Constrained Stabilization of Multi-Input Linear Systems with Distinct Input Delays ». IFAC-PapersOnLine 52, no 2 (2019) : 82–87. http://dx.doi.org/10.1016/j.ifacol.2019.08.015.

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Yuanyuan, Tu, Wang Dayi et Li Wenbo. « Reconfigurability evaluation method for input-constrained control systems ». Journal of Systems Engineering and Electronics 32, no 5 (octobre 2021) : 1023–30. http://dx.doi.org/10.23919/jsee.2021.000087.

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Chen, Tianshi, Zhiyuan Liu, Hong Chen et Run Pei. « CONSTRAINED INPUT-TO-STATE STABILITY OF NONLINEAR SYSTEMS ». IFAC Proceedings Volumes 38, no 1 (2005) : 318–23. http://dx.doi.org/10.3182/20050703-6-cz-1902.00707.

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d'Alessandro, P., et E. De Santis. « Reachability in input constrained discrete-time linear systems ». Automatica 28, no 1 (janvier 1992) : 227–29. http://dx.doi.org/10.1016/0005-1098(92)90026-c.

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KUBRUSLY, C. S., et P. C. M. VIEIRA. « Constrained-Input Constrained-State Stability in a Banach Space ». IMA Journal of Mathematical Control and Information 7, no 2 (1990) : 113–24. http://dx.doi.org/10.1093/imamci/7.2.113.

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Nandi, Souransu, et Tarunraj Singh. « Joint chance constrained input shaping ». Journal of the Franklin Institute 357, no 14 (septembre 2020) : 10027–53. http://dx.doi.org/10.1016/j.jfranklin.2020.07.044.

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唐, 丽. « Constrained Control for Strict Feedback Systems with Input Saturation ». Modeling and Simulation 08, no 03 (2019) : 102–16. http://dx.doi.org/10.12677/mos.2019.83013.

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Thèses sur le sujet "Input-constrained systems"

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Demenkov, Maxim. « Geometric algorithms for input constrained systems with application to flight control ». Thesis, De Montfort University, 2007. http://hdl.handle.net/2086/4950.

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In this thesis novel numerical algorithms are developed to solve some problems of analysis and control design for unstable linear dynamical systems having their input constrained by maximum amplitude and rate of the control signals. Although the results obtained are of a general nature, all the problems considered are induced by flight control applications. Moreover, all these problems are stated in terms of geometry, and because of this their solution in the thesis was effectively achieved by geometrically-oriented methods. The problems considered are mainly connected with the notions of the controllable and stability regions. The controllable region is defined as the set of states of an unstable dynamical system that can be stabilized by some realizable control action. This region is bounded due to input constraints and its size can serve as a controllability measure for the control design problem. A numerical algorithm for the computation of two-dimensional slices of the region is proposed. Moreover, the stability region design is also considered. The stability region of the closed-loop system is the set of states that can be stabilized by a particular controller. This region generally utilizes only a part of the controllable region. Therefore, the controller design objective may be formulated as maximizing this region. A controller that is optimal in this sense is proposed for the case of one and two exponentially unstable open-loop eigenvalues. In the final part of the thesis a linear control allocation problem is considered for overactuated systems and its real-time solution is suggested. Using the control allocation, the actuator selection task is separated from the regulation task in the control design. All fault detection and reconfiguration capabilities are concentrated in one special unit called the control allocator, while a general control algorithm, which produces 'virtual' input for the system, remains intact. In the case of an actuator fault, only the control allocation unit needs to be reconfigured and in many cases it can generate the same 'virtual' input using a different set of control effectors. A novel control allocation algorithm, which is proposed in the thesis, is based on multidimensional interval bisection techniques.
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Yi, Xinlei. « Resource-Constrained Multi-Agent Control Systems : Dynamic Event-triggering, Input Saturation, and Connectivity Preservation ». Licentiate thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216951.

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978-91-7729-579-2A multi-agent system consists of multiple agents cooperating to achieve a common objective through local interactions. An important problem is how to reduce the amount of information exchanged, since agents in practice only have limited energy and communication resources. In this thesis, we propose dynamic event-triggered control strategies to solve consensus and formation problems for multi-agent systems under such resource constraints. In the first part, we propose dynamic event-triggered control strategies to solve the average consensus problem for first-order continuous-time multi-agent systems. It is proven that the state of each agent converges exponentially to the average of all agents' initial states under the proposed triggering laws if and only if the underlying undirected graph is connected.In the second part, we study the consensus problem with input saturation over directed graphs. It is shown that the underlying directed graph having a directed spanning tree is a necessary and sufficient condition for achieving consensus. Moreover, in order to reduce the overall need of communication and system updates, we propose an event-triggered control strategy to solve this problem. It is shown that consensus is achieved, again, if and only if the underlying directed graph has a directed spanning tree.In the third part, dynamic event-triggered formation control with connectivity preservation is investigated. Single and double integrator dynamics are considered. All agents are shown to converge to the formation exponentially with connectivity preservation.The effectiveness of the theoretical results in the thesis is verified by several numerical examples.

QC 20171025

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Ghazali, Abu Baker MHD. « Advanced controllers for building energy management systems. Advanced controllers based on traditional mathematical methods (MIMO P+I, state-space, adaptive solutions with constraints) and intelligent solutions (fuzzy logic and genetic algorithms) are investigated for humidifying, ventilating and air-conditioning applications ». Thesis, University of Bradford, 1996. http://hdl.handle.net/10454/4197.

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This thesis presents the design and implementation of control strategies for building energy management systems (BEMS). The controllers considered include the multi PI-loop controllers, state-space designs, constrained input and output MIMO adaptive controllers, fuzzy logic solutions and genetic algorithm techniques. The control performances of the designs developed using the various methods based on aspects such as regulation errors squared, energy consumptions and the settling periods are investigated for different designs. The aim of the control strategy is to regulate the room temperature and the humidity to required comfort levels. In this study the building system under study is a 3 input/ 2 output system subject to external disturbances/effects. The three inputs are heating, cooling and humidification, and the 2 outputs are room air temperature and relative humidity. The external disturbances consist of climatic effects and other stochastic influences. The study is carried out within a simulation environment using the mathematical model of the test room at Loughborough University and the designed control solutions are verified through experimental trials using the full-scale BMS facility at the University of Bradford.
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Mahmood, Khalid. « Constrained linear and non-linear adaptive equalization techniques for MIMO-CDMA systems ». Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/10203.

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Researchers have shown that by combining multiple input multiple output (MIMO) techniques with CDMA then higher gains in capacity, reliability and data transmission speed can be attained. But a major drawback of MIMO-CDMA systems is multiple access interference (MAI) which can reduce the capacity and increase the bit error rate (BER), so statistical analysis of MAI becomes a very important factor in the performance analysis of these systems. In this thesis, a detailed analysis of MAI is performed for binary phase-shift keying (BPSK) signals with random signature sequence in Raleigh fading environment and closed from expressions for the probability density function of MAI and MAI with noise are derived. Further, probability of error is derived for the maximum Likelihood receiver. These derivations are verified through simulations and are found to reinforce the theoretical results. Since the performance of MIMO suffers significantly from MAI and inter-symbol interference (ISI), equalization is needed to mitigate these effects. It is well known from the theory of constrained optimization that the learning speed of any adaptive filtering algorithm can be increased by adding a constraint to it, as in the case of the normalized least mean squared (NLMS) algorithm. Thus, in this work both linear and non-linear decision feedback (DFE) equalizers for MIMO systems with least mean square (LMS) based constrained stochastic gradient algorithm have been designed. More specifically, an LMS algorithm has been developed , which was equipped with the knowledge of number of users, spreading sequence (SS) length, additive noise variance as well as MAI with noise (new constraint) and is named MIMO-CDMA MAI with noise constrained (MNCLMS) algorithm. Convergence and tracking analysis of the proposed algorithm are carried out in the scenario of interference and noise limited systems, and simulation results are presented to compare the performance of MIMO-CDMA MNCLMS algorithm with other adaptive algorithms.
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Flila, Saïda. « Identification optimale et commande prédictive : applications en génie des procédés ». Phd thesis, Université Claude Bernard - Lyon I, 2010. http://tel.archives-ouvertes.fr/tel-00458661.

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L'objectif principal de ce travail a été d'apporter une nouvelle contribution quant à l'approche de contrôle optimal pendant la phase d'identification. Il s'agissait de trouver la commande à appliquer pendant l'expérience qui permet d'optimiser un critère qui est fonction des sensibilités des sorties par rapport aux paramètres du modèle à identifier. Cette approche couplant contrôleur prédictif sous contraintes et estimateur a résolu en ligne le problème d'identification à chaque instant en utilisant l'observateur. En ce sens, c'est une approche permettant d'automatiser et d'optimiser le design d'expérience, tout en réalisant conjointement l'identification d'un paramètre du modèle spécifié. L'aspect temps réel a été pris en compte dans la formulation de la solution apportée. Dans ce contexte, nous avons introduit deux stratégies de commande pour l'identification optimale. La première était basée sur un modèle de prédiction non linéaire et la seconde sur un modèle linéaire temps variant. Si le temps devient un paramètre critique pour l'implémentation de l'approche, cette dernière vise à réduire le temps alloué à l'optimisation. L'approche d'identification optimale en ligne a été appliquée à deux problèmes concrets du Génie des Procédés (réaction de saponification et cuisson de peintures). Ces exemples ont permis de vérifier en simulation, l'efficacité et la faisabilité de cette approche.
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Ben, Zid Maha. « Emploi de techniques de traitement de signal MIMO pour des applications dédiées réseaux de capteurs sans fil ». Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENT017/document.

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Dans ce travail de thèse, on s'intéresse é l'emploi de techniques de traitement de signal de systèmes de communication MIMO (Multiple Input Multiple Output) pour des applications aux réseaux de capteurs sans fil. Les contraintes énergétiques de cette classe de réseau font appel à des topologies particulières et le réseau peut être perçu comme étant un ensemble de grappes de nœuds capteurs. Ceci ouvre la porte à des techniques avancées de communication de type MIMO. Dans un premier temps, les différents aspects caractérisant les réseaux de capteurs sans fil sont introduits. Puis, les efforts engagés pour optimiser la conservation de l'énergie dans ces réseaux sont résumés. Les concepts de base de systèmes MIMOs sont abordés dans le deuxième chapitre et l'exploration par voie numérique de différentes pistes de la technologie MIMO sont exposées. Nous nous intéressons à des techniques de diversité de polarisation dans le cadre de milieux de communication riches en diffuseurs. Par la suite, des méthodes de type beamforming sont proposées pour la localisation dans les réseaux de capteurs sans fil. Le nouvel algorithme de localisation est présenté et les performances sont évaluées. Nous identifions la configuration pour la communication inter-grappes qui permet pour les meilleurs compromis entre énergie et efficacité spectrale dans les réseaux de capteurs sans fil. Finalement, nous envisageons la technique de sélection de nœuds capteurs afin de réduire la consommation de l'énergie dans le réseau de capteur sans fil
The aim of this work is to study from a signal processing point of view the use of MIMO (Multiple Input Multiple Output) communication systems for algorithms dedicated to wireless sensor networks. We investigate energy-constrained wireless sensor networks and we focus on cluster topology of the network. This topology permits for the use of MIMO communication system model. First, we review different aspects that characterize the wireless sensor network. Then, we introduce the existing strategies for energy conservation in the network. The basic concepts of MIMO systems are presented in the second chapter and numerical results are provided for evaluating the performances of MIMO techniques. Of particular interest, polarization diversity over rich scattering environment is studied. Thereafter, beamforming approach is proposed for the development of an original localization algorithm in wireless sensor network. The novel algorithm is described and performances are evaluated by simulation. We determine the optimal system configuration between a pair of clusters that permits for the highest capacity to energy ratio in the fourth chapter. The final chapter is devoted to sensor nodes selection in wireless sensor network. The aim of using such technique is to make energy conservation in the network
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De, Dona Jose A. « Input constrained linear control ». Thesis, 2000. http://hdl.handle.net/1959.13/1408362.

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Research Doctorate - Doctor of Philosophy (PhD)
The presence of input constraints is ubiquitous in control systems. As soon as higher performance-eg., faster response-is demanded of the system, limitations imposed by input constraints are more than likely to be encountered. This thesis focuses on various aspects of control system design for linear plants subject to input constraints. For such problems, a number of the results of the well known theory of linear systems still apply, but yet there are many aspects which are of a definitive nonlinear nature, making these problems highly nontrivial. This explains the fact that, despite considerable past work on the topic, there still remain many interesting unsolved research problems. In this thesis we study different control methodologies aimed at dealing with this problem. The main methodologies considered are: model predictive control, time optimal control and switching strategies. Insight is gained through the analysis of the solutions provided by these control formulations. In the case of model predictive control, a technique traditionally implemented via an on-line optimisation, our approach leads us to investigate closed-form solutions to this problem. By obtaining closed-form analytical solutions to model predictive control of limited horizons, we are able to elucidate aspects of the underlying structure of its solution. We also obtain a closed-form solution for arbitrary horizon model predictive control which is, in general, valid locally, in a closed region of the state-space. A common observation that is made in the various control formulations considered in the thesis is that they can be implemented by switching strategies which have similar underlying features. These features are of crucial importance for the achievement of high performance. The specific features of interest are the shape of the switching surface and the degree of effective use of the available control authority. This insight is used to devise switching strategies aimed at achieving high performance. Robustness issues associated with the switching strategies are also addressed.
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TESI, PIETRO. « Switching supervisory control : adaptive and input-constrained systems ». Doctoral thesis, 2010. http://hdl.handle.net/2158/592008.

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This thesis deals with the application of logic-based switching in adaptive and predictive control schemes. Each control system under study consists of a switching supervisory control architecture whereby a controller, selected from a finite family of pre-designed candidate controllers, is at any time switched-on in feedback to the plant based on available measurements.
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Huang, Chien-Hsun, et 黃建勛. « Input Constrained Synthesis of Discrete Nonlinear Passive Systems via Affine T-S Fuzzy Model ». Thesis, 2007. http://ndltd.ncl.edu.tw/handle/34234665447773911377.

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碩士
國立臺灣海洋大學
輪機工程系
95
Abstract In this thesis, we will introduce the passive properties, input constrained and Takagi-Sugeno (T-S) Fuzzy model for stability analysis and controller synthesis. The main idea of passivity theory behind this is that physical systems have certain input-output properties related to the conservation, dissipation and transport of energy. The total energy stored in the system decrease with time. One of key properties of passivity theory, it can use to oppose external disturbance effectively and ensure system stable. In another way, the focus of input constrained theory, to achieve conserve control energy, we use RMS constraints for the variance of the system. The T-S Fuzzy model is similar to nonlinear dynamic system and via several sub-linear systems with the membership function which related of each sub-linear system. Through the Lyapunov stsbility criterion, passivity theory, input constrained theory and Iterative Linear Matrix Inequality (ILMI) algorithm, the problems of stability analysis and controller design are discussed in this thesis. Finally, examples are provided to show the application of the approaches of this thesis. Keywords： Input constraint, Passivity Theory, Affine Takagi-Sugeno Fuzzy Model, Iterative Linear Matrix Inequality, S-Porcedure
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Wen-TengHsu et 許文騰. « An Input-Constrained Reduced-Order Observer and NARMAX Model-Based Adaptive Tracker with Fault Tolerance for Unknown Systems with an Input-Output Direct Feed-Through Term ». Thesis, 2014. http://ndltd.ncl.edu.tw/handle/11400392290801017705.

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博士
國立成功大學
電機工程學系
102
This dissertation proposes an input-constrained reduced-order observer-based adaptive tracker with fault tolerance for unknown nonlinear stochastic systems with an input-output direct feed-through term to obtain good tracking performance. The major contributions of this dissertation are stated as follows: Firstly, realization of causal current output-based optimal full/reduced-order observer and tracker for the linear sampled-data system with a direct transmission term from input to output is newly proposed. Furthermore, the time derivative of the control input existed in the continuous-time reduced-order observer can be avoided in the proposed one for the continuous-time system with an input-output feed-through term. Secondly, an active full-order fault tolerance tracker using the modified nonlinear autoregressive moving average with exogenous inputs (NARMAX) model for state-space self-tuning control (STC) of unknown nonlinear stochastic hybrid systems with a direct transmission term is proposed. For the system identification process, the initial parameters of the modified NARMAX model assigned by the off-line OKID and can speed up the convergence speed of the recursive extended least squares (RELS) method to determine a reliable dynamic model. Moreover, the modified state-space self-tuning control methodology due to the NARMAX model can quickly make an appropriate reaction to the variation of system parameters when the abrupt input fault and/or the gradual input fault occurs. Finally, an input-constrained reduced-order observer-based self-tuner with fault tolerance for unknown nonlinear stochastic systems with an input-output direct feed-through term has been proposed. Some illustrative examples are given to demonstrate the effectiveness of the proposed methodologies.
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Livres sur le sujet "Input-constrained systems"

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de Almeida, Roberto G., et Ernie Lepore. Semantics for a Module. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190464783.003.0006.

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Fodor’s The Modularity of Mind (1983) and subsequent work propose a principled distinction between perceptual computations and background knowledge. The chapter argues that language input analyzers produce a minimally—and highly constrained—context-sensitive propositional representation of the sentence, built up from sentence constituents. Compatible with the original Modularity story, it thus takes the output of sentence perception to be a “shallow” representation—though a semantic one. The empirical data discussed bear on alleged cases of sentence indeterminacy and how such cases might be assigned (shallow) semantic representations, interact with context in highly regulated ways, and whether and how they can be enriched. The chapter proposes a semantic level of representation that serves as output of the module and as input to other systems of interpretation, arguing for a form of modularity or encapsulation that is minimally context-sensitive provided that the information from context is itself determined by linguistic principles.
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Golan, Amos. Foundations of Info-Metrics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.001.0001.

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This book provides a framework for info-metrics—the science of modeling, inference, and reasoning under conditions of noisy and insufficient information. Info-metrics is an inherently interdisciplinary framework that emerged from the intersection of information theory, statistical inference, and decision-making under uncertainty. It allows us to process the available information with minimal reliance on assumptions that cannot be validated. This book focuses on unifying all information processing and model building within a single constrained optimization framework. It provides a complete framework for modeling and inference, rather than a problem-specific model. The framework evolves from the simple premise that our available information is often insufficient to provide a unique answer for decisions we wish to make. Each decision, or solution, is derived from the available input information along with a choice of inferential procedure. The book contains many multidisciplinary applications that demonstrate the simplicity and generality of the framework in real-world settings: These include initial diagnosis at an emergency room, optimal dose decisions, election forecasting, network and information aggregation, weather pattern analyses, portfolio allocation, inference of strategic behavior, incorporation of prior information, option pricing, and modeling an interacting social system. This book presents simple derivations of the key results that are necessary to understand and apply the fundamental concepts to a variety of problems. Derivations are often supported by graphical illustrations. The book is designed to be accessible for graduate students, researchers, and practitioners across the disciplines, requiring only basic quantitative skills and a little persistence.
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Chapitres de livres sur le sujet "Input-constrained systems"

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Aouaouda, Sabrina, Lotfi Moussaoui et Ines Righi. « Input-Constrained Controller Design for Nonlinear Systems ». Dans Smart Innovation, Systems and Technologies, 240–53. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21009-0_23.

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Feng, Gang. « Robust Adaptive Control of Input Rate Constrained Discrete Time Systems ». Dans Adaptive Control of Nonsmooth Dynamic Systems, 333–48. London : Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-3687-3_13.

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Fu, Junjie, Guanghui Wen, Yongjun Xu, Ali Zemouche et Fan Zhang. « Resilient Cooperative Control of Input Constrained Networked Cyber-Physical Systems ». Dans Security and Resilience in Cyber-Physical Systems, 267–98. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97166-3_11.

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Araújo, José M., et Carlos E. T. Dórea. « Neural Network Fitting for Input-Output Manifolds in Constrained Linear Systems ». Dans Nature-Inspired Computing for Control Systems, 145–67. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26230-7_6.

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Liu, Zhilin, Xin Yuan, Jun Zhang et Li Su. « Robust Control of Piecewise Linear Switched System with Constrained Input and Ellipsoid ». Dans Proceedings of 2016 Chinese Intelligent Systems Conference, 65–77. Singapore : Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2338-5_7.

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Grancharova, Alexandra, et Tor A. Johansen. « Explicit Approximate Model Predictive Control of Constrained Nonlinear Systems with Quantized Input ». Dans Nonlinear Model Predictive Control, 371–80. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01094-1_30.

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Maezawa, Akira, Katsutoshi Itoyama, Toru Takahashi, Kazunori Komatani, Tetsuya Ogata et Hiroshi G. Okuno. « Violin Fingering Estimation Based on Violin Pedagogical Fingering Model Constrained by Bowed Sequence Estimation from Audio Input ». Dans Trends in Applied Intelligent Systems, 249–59. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13033-5_26.

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Huang, Yuzhu, Derong Liu et Qinglai Wei. « Generalized Hamilton-Jacobi-Isaacs Formulation-Based Neural Network H ∞ Control for Constrained Input Nonlinear Systems ». Dans Neural Information Processing, 218–25. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34475-6_27.

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Dong, Hairong, Xiaoyu Wang, Shigen Gao et Yubing Wang. « Neural Adaptive Dynamic Surface Control of Nonlinear Systems with Partially Constrained Tracking Errors and Input Saturation ». Dans Advances in Neural Networks - ISNN 2017, 20–27. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59081-3_3.

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De Giovanni, Elisabetta, Farnaz Forooghifar, Gregoire Surrel, Tomas Teijeiro, Miguel Peon, Amir Aminifar et David Atienza Alonso. « Intelligent Edge Biomedical Sensors in the Internet of Things (IoT) Era ». Dans Emerging Computing : From Devices to Systems, 407–33. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7487-7_13.

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AbstractThe design of reliable wearable systems for real-time and long-term monitoring presents major challenges, although they are poised as the next frontier of innovation in the context of Internet-of-Things (IoT) to provide personalized healthcare. This new generation of biomedical sensors targets to be interconnected in ways that improve our lives and transform the medical industry. Therefore, they offer an excellent opportunity to integrate the next generation of artificial intelligence (AI) based techniques in medical devices. However, several key challenges remain in achieving this potential due to the inherent resource-constrained nature of wearable systems for Big Data medical applications, which need to detect pathologies in real time. Concretely, in this chapter, we discuss the opportunities for edge computing and edge AI in next-generation intelligent biomedical sensors in the IoT era and the key challenges in wearable systems design for pathology detection and health/activity monitoring in the context of IoT technologies. First, we introduce the notion of self-awareness toward the conception of the next-generation intelligent edge biomedical sensors to trade-off machine-learning performance versus system lifetime, according to the application requirements of the medical monitoring systems. Subsequently, we present the implications of personalization and multi-parametric sensing in the context of the system-level architecture of intelligent edge biomedical sensors. Thus, they can adapt to the real world, as living organisms do, to operate efficiently according to the target application requirements and available energy at any moment in time. Then, we discuss the impacts of self-awareness and low-power requirements at the circuit level for sampling through a paradigm shift to react to the input signal itself. Finally, we conclude by highlighting that the techniques discussed in this chapter may be applied jointly to design the next-generation intelligent biomedical sensors and systems in the IoT era.
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Actes de conférences sur le sujet "Input-constrained systems"

1

Malki, Suleyman, et Lambert Spaanenburg. « Optimization of input-constrained systems ». Dans SPIE Europe Microtechnologies for the New Millennium, sous la direction de Teresa Riesgo, Eduardo de la Torre et Leandro Soares Indrusiak. SPIE, 2009. http://dx.doi.org/10.1117/12.821905.

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Abel, Imoleayo, Mrdjan Janković et Miroslav Krstić. « Constrained Control of Input Delayed Systems With Partially Compensated Input Delays ». Dans ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3271.

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Abstract Control Barrier Functions (CBFs) have become popular for enforcing — via barrier constraints — the safe operation of nonlinear systems within an admissible set. For systems with input delay(s) of the same length, constrained control has been achieved by combining a CBF for the delay free system with a state predictor that compensates the single input delay. Recently, this approach was extended to multi input systems with input delays of different lengths. One limitation of this extension is that barrier constraint adherence can only be guaranteed after the longest input delay has been compensated and all input channels become available for control. In this paper, we consider the problem of enforcing constraint adherence when only a subset of input delays have been compensated. In particular, we propose a new barrier constraint formulation that ensures that when possible, a subset of input channels with shorter delays will be utilized for keeping the system in the admissible set even before longer input delays have been compensated. We include a numerical example to demonstrate the effectiveness of the proposed approach.
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« Soft tracking control for input constrained systems ». Dans Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.786500.

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KHALLOUK, Hamza, et Fouad MESQUINE. « Regional Pole Assignment for Constrained Input Uncertain Systems ». Dans 2018 7th International Conference on Systems and Control (ICSC). IEEE, 2018. http://dx.doi.org/10.1109/icosc.2018.8587782.

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He Kong, Graham Goodwin et Maria Seron. « Sparse networked control of input constrained linear systems ». Dans 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE, 2013. http://dx.doi.org/10.1109/cdc.2013.6760936.

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Abu-Khalaf, M., F. L. Lewis et Jie Huang. « Hamilton-Jacobi-Isaacs formulation for constrained input nonlinear systems ». Dans 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). IEEE, 2004. http://dx.doi.org/10.1109/cdc.2004.1429604.

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Hara, Naoyuki, et Keiji Konishi. « Parallel model predictive control for input constrained linear systems ». Dans 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, 2016. http://dx.doi.org/10.1109/cdc.2016.7798614.

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Alli-Oke, Razak Olusegun. « A Reference-Optimizing Antiwindup Control for Input-Constrained Systems ». Dans 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2019. http://dx.doi.org/10.1109/codit.2019.8820683.

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Giri, F., E. Chater, F. Z. Chaoui et J. B. Gning. « Further tracking results for input-constrained minimum-phase systems ». Dans 2009 American Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/acc.2009.5159899.

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us Saqib, Najam, Muntazir Hussain, Muhammad Siddique, Muhammad Rehan et Naeem Iqbal. « Static AWC Design for Input Constrained Nonlinear Parameter Varying Systems ». Dans TENCON 2018 - 2018 IEEE Region 10 Conference. IEEE, 2018. http://dx.doi.org/10.1109/tencon.2018.8650373.

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