Relevant bibliographies by topics / Embedded model control

Academic literature on the topic 'Embedded model control'

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Published: 14 March 2023

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Journal articles on the topic "Embedded model control"

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Cetinkunt, Sabri, Shin-ichi Nakajima, Brad Nelson, and Salem Haggag. "Embedded-Model-Based Control." Journal of Control Science and Engineering 2013 (2013): 1–2. http://dx.doi.org/10.1155/2013/237897.

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Takács, Gergely, Gabriel Batista, Martin Gulan, and Boris Rohaľ-Ilkiv. "Embedded explicit model predictive vibration control." Mechatronics 36 (June 2016): 54–62. http://dx.doi.org/10.1016/j.mechatronics.2016.04.008.

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Johansen, Tor A. "Toward Dependable Embedded Model Predictive Control." IEEE Systems Journal 11, no. 2 (June 2017): 1208–19. http://dx.doi.org/10.1109/jsyst.2014.2368129.

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McLain, Richard B., and Michael A. Henson. "Nonlinear Model Reference Adaptive Control with Embedded Linear Models." Industrial & Engineering Chemistry Research 39, no. 8 (August 2000): 3007–17. http://dx.doi.org/10.1021/ie990088t.

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Lotufo, Mauricio Alejandro, Luigi Colangelo, and Carlo Novara. "Control Design for UAV Quadrotors via Embedded Model Control." IEEE Transactions on Control Systems Technology 28, no. 5 (September 2020): 1741–56. http://dx.doi.org/10.1109/tcst.2019.2918750.

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Canuto, Enrico, and Fabio Musso. "Embedded model control: Application to web winding." ISA Transactions 46, no. 3 (June 2007): 379–90. http://dx.doi.org/10.1016/j.isatra.2007.01.002.

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Canuto, Enrico. "Embedded Model Control: Outline of the theory." ISA Transactions 46, no. 3 (June 2007): 363–77. http://dx.doi.org/10.1016/j.isatra.2007.01.006.

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Canuto, Enrico, Carlo Novara, and Luigi Colangelo. "Embedded model control: Reconciling modern control theory and error-based control design." Control Theory and Technology 16, no. 4 (November 2018): 261–83. http://dx.doi.org/10.1007/s11768-018-8130-1.

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Ling, K. V., B. F. Wu, and J. M. Maciejowski. "Embedded Model Predictive Control (MPC) using a FPGA." IFAC Proceedings Volumes 41, no. 2 (2008): 15250–55. http://dx.doi.org/10.3182/20080706-5-kr-1001.02579.

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Currie, J., and D. I. Wilson. "Lightweight Model Predictive Control intended for embedded applications." IFAC Proceedings Volumes 43, no. 5 (2010): 278–83. http://dx.doi.org/10.3182/20100705-3-be-2011.00046.

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Dissertations / Theses on the topic "Embedded model control"

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MOLANO, JIMENEZ ANDRES GUILLERMO. "Embedded Model Control For Mars Terminal Descent Phase." Doctoral thesis, Politecnico di Torino, 2011. http://hdl.handle.net/11583/2501690.

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The objective of this thesis is to provide an exhaustive (as much as possible) description of Guidance Navigation and Control systems (GNC) for the propulsive terminal phase of mars landing scientific missions, and to define a unified GNC architecture capable of solving soft landing, and pin-point landing problems. Accordingly, a model-based control system design methodology will be employed throughout. Such a design technique, called Embedded Model Control (EMC), is hinged on the construction of a finite dimensional Discrete-Time (DT) State Equation (SE), called Embedded Model (EM), describing the landing vehicle motion dynamics. The EM is embedded in the Digital Control Unit (DCU), acting as the core of the GNC algorithms. In this chapter , the current scenario of mars exploration technologies will be briefly introduced. Then a brief review of key missions will be done, particularly attention will be take into landing missions and its control system requirements for the terminal decent phase, giving to the reader a fast overview of the past and actual control requirements for mars landing exploration missions.
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Guiggiani, Alberto. "Embedded model predictive control: finite precision arithmetic and aerospace applications." Thesis, IMT Alti Studi Lucca, 2015. http://e-theses.imtlucca.it/168/1/thesis_GUIGGIANI.pdf.

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Model Predictive Control (MPC) is a multivariable advanced control technique widely popular inmany industrial applications due to its ability to explicitly optimize performance, straightforwardly handling constraints on system variables. However, MPC requires solving a Quadratic Programming (QP) optimization problem at each sampling step. This has slowed down its diffusion in embedded applications, in which fast sampling rates are paired with scarce computational capabilities, as in the automotive and aerospace industries. This thesis proposes optimization techniques and controller formulations specifically tailored to embedded applications. First, fixed-point implementations of Dual Gradient Projection (DGP) and Proximal Newton methods are introduced. Detailed convergence analysis in the presence of round-off errors and algorithm optimizations are presented, and concrete guidelines for selecting the minimum number of fractional and integer bits that guarantee convergence are provided. Moreover, extensive simulations and experimental tests on embedded devices, supported by general-purpose processing units and FPGAs, are reported to demonstrate the feasibility of the proposed solvers, and to expose the benefits of fixed-point arithmetic in terms of computation speeds and memory requirements. Finally, an embedded MPC application to spacecraft attitude control with reaction wheels actuators is presented. A lightweight controller with specific optimizations is developed, and its good performance evaluated in simulations. Moreover, special MPC formulations that address the problem of reaction wheel desaturation are discussed, where the constraint handling property of MPC is exploited to achieve desaturation without the need of fuel-consuming devices such as thrusters.
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CIMINI, Gionata. "Complexity certification and efficient implementation of model predictive control for embedded applications." Doctoral thesis, Università Politecnica delle Marche, 2017. http://hdl.handle.net/11566/245310.

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A causa delle alte frequenze di campionamento e delle ridotte risorse computazionali, la certificazione di complessità ha un ruolo chiave nella determinazione del successo del Model Predictive Control (MPC) nelle applicazioni embedded. Questa tesi propone un algoritmo di certificazione per metodi active-set duali, che permette di calcolare esattamente il tempo massimo di risoluzione di un problema di Quadratic Programming (QP) parametrico, risultante ad esempio da formulazioni MPC lineari. Dato un problema MPC e una piattaforma di calcolo è quindi possibile certificare se il problema di ottimizzazione sarà sempre risolto nel limite di tempo. La mancanza di una certificazione è anche una minaccia per la validità dei metodi di accelerazione, dato che il miglioramento del tempo massimo di soluzione è molto più importante di quello medio per embedded MPC. Due nuovi metodi sono presentati per i quali il miglioramento nel caso peggiore è certificabile esattamente. Il primo è un MPC semi-esplicito che combina un risolutore online con la legge multiparametrica delle partizioni poliedrali che incidono maggiormente sul caso peggiore. Il secondo consiste in una selezione alternativa dei vincoli violati per metodi active-set duali, la quale diminuisce sia il numero massimo di iterazioni, sia la complessità della singola iterazione. Infine, la tesi propone applicazioni sperimentali di embedded MPC a motori elettrici e convertitori di potenza. Il controllo di coppia di un motore brushless tramite MPC è validato su un’unità di controllo economica, risultando più veloce della corrispondente soluzione multiparametrica. Viene poi presentato un controllo MPC per convertitori DC-DC pre-compensati per aggirare il problema dei controllori primali non modificabili. Inoltre, è affrontato il problema della stima dello stato per diversi convertitori nella stessa unità di alimentazione, sviluppando un osservatore robusto e non lineare unificato per sei diverse tipologie di convertitori.
Due to the fast sampling frequency and the scarce computational resources, the complexity certification of optimization algorithms plays a key role in determining the success of embedded Model Predictive Control (MPC). This thesis proposes a certification algorithm for dual active-set methods, able to compute exactly the worst-case number of iterations and the amount of time needed to solve a parametric Quadratic Programming (QP) problem, like those that arise in linear MPC. Therefore, given an MPC problem and a computational unit, it can be certified if the optimization problem will be always solved in the prescribed amount of time. The lack of a complexity certification is a threat for accelerating methods as well, as speeding up the worst-case time is much more important than improving the average case in embedded MPC. The thesis presents two novel accelerating methodologies, for which the worst-case improvement can be exactly certified. The first is a semi-explicit MPC, combining an online solver with the multiparametric solution of those polyhedral regions that most affect the worst-case time. The second method consists of an alternative selection for violated constraints in dual active-set solvers, which lowers the worst-case number of iterations and the complexity of the single iteration. Finally, embedded MPC for electrical drives and power converters is experimentally investigated. MPC for the torque control of a brushless motor is demonstrated to be feasible on a cheap control board, and even faster than the corresponding multiparametric solution. Embedded MPC for pre-compensated DC-DC converters is developed, in order to overcome the obstacle of a non-modifiable primal controller, very common in power converters. The issue of estimating the state for multiple DC-DC converters on the same power supply is also addressed, by presenting a unified nonlinear robust observer for six different converter topologies.
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Mancino, Francesco. "An embedded model predictive controller for optimal truck driving." Thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205649.

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An embedded model predictive controller for velocity control of trucks is developed and tested. By using a simple model of a heavy duty vehicle and knowledge about the slope of the road ahead, the fuel consumption while traveling near a set speed is diminished by almost 1% on an example road compared to a rule based speed control system. The problem is formulated as a look-ahead optimization problem were fuel consumption and total trip time have to be minimized. To find the optimal solution dynamic programming is used, and the whole code is designed to run on a Scania gearbox ECU in parallel with all the current software. Simulations were executed in a Simulink environment, and two test rides were performed on the E4 motorway.
En algoritm för hastighetsstyrning baserad på modell-prediktiv reglering har utvecklats och testats på befintlig styrsystem i ett Scania lastbil. Genom att använda en enkel modell av fordonet och kunskap om lutningen på vägen framför den kunde man sänka bränsleförbrukningen med nästan 1% i vissa sträckor, jämfört med en regelbaserad farthållare. Problemet är formulerat som en optimerings-problem där bränsleförbrukning och total restid måste minimeras. För att hitta den optimala lösningen användes dynamisk programmering och hela koden är skriven så att den kan exekveras på en Scania styrenehet. Koden är kan köras parallellt med den mjukvara som är installerad på styrenheten. Simuleringar utfördes i en miljö utvecklad i Simulink. Två test-körningar på E4 motorvägen utfördes.
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Aksønov, Sergei. "Embedded Control of a Wind Turbine Based on Model Driven Development." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19213.

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Todays technological projects become increasingly complex. This increases the demands for seamless interaction between development tools. Problems like tool lock-in, and tool obsolescence become more significant. For large and complex projects, it is important to maximize the efficiency of the toolchain to avoid wasting time and money. To achieve this, a framework is being developed that aims to provide a seamless way to interchange tools and avoid many common problems. A demonstrator needs to be developed to validate this framework. This paper presents an implementation of a hardware-software system that can be used for that purpose. This system will rely on an integrated tool chain and thus provide grounds for experimentation using the abovementioned framework. It has been decided that this demonstrator will be in form of a wind turbine. Any other sufficiently complex hardware-software system could be used.First, the physics behind a fullscale turbine was studied. Then, several solutions for the implementation of the model were considered. A design was made and the components were chosen. A mechanical model was built, and a mathematical model was designed in Matlab Simulink. Also, a controller model was made in Matlab Simulink, which was loaded onto an industrial controller. Electrical circuits and interfaces were developed, as well as a communication protocol. In the end, verification was performed and an example usage of the demonstrator given.The result and product of this work is a platform, in shape of a scale wind turbine, for developing and validating a tool chain framework.
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LOTUFO, MAURICIO ALEJANDRO. "Embedded Model Control for UAVs: theoretical aspects, simulations and experimental results." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2687427.

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Unmanned Aerial Vehicles (UAVs) and, more specifically, n-copters have come to prominence in the last decade. Indeed, unmanned vehicles may have several applications in society, spanning from complex operations, also in potentially hazardous environments for humans to more entertaining purposes. Furthermore, UAVs have drawn great attention in the automatic control research community. This is mainly due to two reasons. First of all, designing a control for this non-linear and underactuated system can represent a stimulating challenge for control researchers. Secondly, n-copters, being typically mechanically simple and fast-prototyping devices, are widely considered as a good technology for testing a wide range of control algorithms and designs, also employing a wide range of sensors. In fact, the possibility of having several low cost sensors on-board enables the implementation of many navigation solutions as well as sensor calibration algorithms. In this work, the control unit design for a quadrotor was addressed. In particular, the study regards the Borea quadrotor which is part of an internal project (Borea) of the former Space and Precision Automatics research, now Systems and Data Science group, at Politecnico di Torino. The Borea project aims to test Guidance, Navigation and Control (GNC) algorithms designed within the framework of the Embedded Model Control (EMC) methodology. In particular, one of the main project objectives regards the testing of planetary landing algorithms because of the similitude in the command authority between n-copters and spacecrafts during the landing phase. In fact, both n-copters and spacecrafts can provides a thrust vector which is constant in direction whereas its intensity can be regulated. The EMC framework matches the GNC architecture perfectly. More important, EMC is a methodology based on an internal model which includes the uncertainties, in the form of disturbances, that have to be rejected. Indeed, the main design effort is focused on the internal model design, which is the core of the whole control unit. The Borea UAV has been endowed with a control system in order to control its position, velocity, and attitude. These results has been achieved by means of a well structured design process which started from the plant modelling and arrived to the flight test. Indeed, the process has involved intensive numerical simulation and control refinements as well as multi-staged tests and model validations. During the design process some neglected dynamics has turned out to be very important for the control design and their identification was revealed mandatory. On the other hand, the control problem was separated into two independent controllers in order to have a more simple controller which makes the quadrotor able to fly allowing to test all the subsystems, improve the simulator fidelity and support the design and validation of the second controller. Each controller has required specifics flight tests aimed to validates particular functionalities and control performance. Testing has included the design and building of a single axis test-bench in order to perform the very first control tuning in a safety way. The objective of the first controller was the attitude stabilization of the quadrotor in order to perform a hovering flight initially and the attitude tracking later. The design of the attitude controller has required the identification of the actuator dynamics as well as the sensors calibration. The attitude control unit has been implemented in all its parts and successfully tested in real flight. As mentioned before, the next step has been focused on controlling the quadrotor position within a limited flight area. In particular, this study investigates the use of the feedback linearization approach as a novel way to design the internal model for EMC. The feedback linearization allows us to collect all the non-linearities at the command level. EMC, by means of a disturbance dynamics model, makes possible to estimate and then reject the non-linear terms through the control law. The control solution has been validated by means of intensive numerical simulations and real-flight tests. As a final result, the control units developed in this work enhance the EMC applicability to non-linear systems, such as quadrotor UAVs, and evidence the EMC disturbance rejection capabilities.
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Brugnolli, Mateus Mussi. "Predictive adaptive cruise control in an embedded environment." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-24092018-151311/.

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The development of Advanced Driving Assistance Systems (ADAS) produces comfort and safety through the application of several control theories. One of these systems is the Adaptive Cruise Control (ACC). In this work, a distribution of two control loops of such system is developed for an embedded application to a vehicle. The vehicle model was estimated using the system identification theory. An outer loop control manages the radar data to compute a suitable cruise speed, and an inner loop control aims for the vehicle to reach the cruise speed given a desired performance. For the inner loop, it is used two different approaches of model predictive control: a finite horizon prediction control, known as MPC, and an infinite horizon prediction control, known as IHMPC. Both controllers were embedded in a microcontroller able to communicate directly with the electronic unit of the vehicle. This work validates its controllers using simulations with varying systems and practical experiments with the aid of a dynamometer. Both predictive controllers had a satisfactory performance, providing safety to the passengers.
A inclusão de sistemas avançados para assistência de direção (ADAS) tem beneficiado o conforto e segurança através da aplicação de diversas teorias de controle. Um destes sistemas é o Sistema de Controle de Cruzeiro Adaptativo. Neste trabalho, é usado uma distribuição de duas malhas de controle para uma implementação embarcada em um carro de um Controle de Cruzeiro Adaptativo. O modelo do veículo foi estimado usando a teoria de identificação de sistemas. O controle da malha externa utiliza dados de um radar para calcular uma velocidade de cruzeiro apropriada, enquanto o controle da malha interna busca o acionamento do veículo para atingir a velocidade de cruzeiro com um desempenho desejado. Para a malha interna, é utilizado duas abordagens do controle preditivo baseado em modelo: um controle com horizonte de predição finito, e um controle com horizonte de predição infinito, conhecido como IHMPC. Ambos controladores foram embarcados em um microcontrolador capaz de comunicar diretamente com a unidade eletrônica do veículo. Este trabalho valida estes controladores através de simulações com sistemas variantes e experimentos práticos com o auxílio de um dinamômetro. Ambos controladores preditivos apresentaram desempenho satisfatório, fornecendo segurança para os passageiros.
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Júnior, José Genario de Oliveira. "Model predictive control applied to A 2-DOF helicopter." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-11042018-082532/.

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This work presents an embedded model predictive control application to a 2-DOF Helicopter Process. The mathematical modeling of the plant is first presented along with an analysis of the linear model. Then, the incremental state-space representations used in the MPC formulation are derived. The MPC technique is then defined, along with how to rewrite the physical constraints into the problem formulation. After that, a discussion on the utilized Quadratic Programming solver is presented along with possible alternatives to it, showing some considerations on which matrices to calculate beforehand for an embedded application. Finally, system identification is performed and the experimental results are presented.
Este trabalho apresenta uma aplicação de controle preditivo embarcado em um helicóptero de bancada com dois graus de liberdade. A modelagem matemática é apresentada, junto com uma análise do modelo linear obtido. São obtidas duas representações de modelos de espaço de estados considerando a entrada incremental, que serão usadas posteriormente para a formulação do controlador. Então, é definida a técnica de controle utilizada, juntamente com a inclusão das restrições físicas da planta na formulação do problema. Após isto, é feita uma discussão sobre qual solver para a programação quadrática utilizar, junto com algumas alternativas ao solver escolhido, bem como algumas considerações sobre a aplicação embarcada. Finalmente, são apresentados os resultados da identificação de sistemas aplicadas ao protótipo, bem como os resultados experimentais obtidos.
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Chen, Dejiu. "Systems Modeling and Modularity Assessment for Embedded Computer Control Applications." Doctoral thesis, KTH, Maskinkonstruktion, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3792.

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AbstractThe development of embedded computer control systems(ECS) requires a synergetic integration of heterogeneoustechnologies and multiple engineering disciplines. Withincreasing amount of functionalities and expectations for highproduct qualities, short time-to-market, and low cost, thesuccess of complexity control and built-in flexibility turn outto be one of the major competitive edges for many ECS products.For this reason, modeling and modularity assessment constitutetwo critical subjects of ECS engineering.In the development ofECS, model-based design is currently being exploited in most ofthe sub-systems engineering activities. However, the lack ofsupport for formalization and systematization associated withthe overall systems modeling leads to problems incomprehension, cross-domain communication, and integration oftechnologies and engineering activities. In particular, designchanges and exploitation of "components" are often risky due tothe inability to characterize components' properties and theirsystem-wide contexts. Furthermore, the lack of engineeringtheories for modularity assessment in the context of ECS makesit difficult to identify parameters of concern and to performearly system optimization. This thesis aims to provide a more complete basis for theengineering of ECS in the areas of systems modeling andmodularization. It provides solution domain models for embeddedcomputer control systems and the software subsystems. Thesemeta-models describe the key system aspects, design levels,components, component properties and relationships with ECSspecific semantics. By constituting the common basis forabstracting and relating different concerns, these models willalso help to provide better support for obtaining holisticsystem views and for incorporating useful technologies fromother engineering and research communities such as to improvethe process and to perform system optimization. Further, amodeling framework is derived, aiming to provide a perspectiveon the modeling aspect of ECS development and to codifyimportant modeling concepts and patterns. In order to extendthe scope of engineering analysis to cover flexibility relatedattributes and multi-attribute tradeoffs, this thesis alsoprovides a metrics system for quantifying componentdependencies that are inherent in the functional solutions.Such dependencies are considered as the key factors affectingcomplexity control, concurrent engineering, and flexibility.The metrics system targets early system-level design and takesinto account several domain specific features such asreplication and timing accuracy. Keywords:Domain-Specific Architectures, Model-basedSystem Design, Software Modularization and Components, QualityMetrics.
QC 20100524
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Menendez, Zometa Juan Pablo [Verfasser]. "Code generation for model predictive control of embedded systems / Juan Pablo Menendez Zometa." Magdeburg : Universitätsbibliothek, 2017. http://d-nb.info/1136955097/34.

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Books on the topic "Embedded model control"

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Forrai, Alexandru. Embedded Control System Design: A Model Based Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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s, Luis Alejandro Corte. Verification and scheduling techniques for real-time embedded systems. Linko ping: Linko pings universitet, 2005.

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Spacecraft Dynamics and Control: The Embedded Model Control Approach. Elsevier Science & Technology Books, 2018.

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Canuto, Enrico, Carlo Novara, Donato Carlucci, Carlos Perez Montenegro, and Luca Massotti. Spacecraft Dynamics and Control: The Embedded Model Control Approach. Elsevier Science & Technology Books, 2018.

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Forrai, Alexandru. Embedded Control System Design: A Model Based Approach. Springer, 2012.

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Forrai, Alexandru. Embedded Control System Design: A Model Based Approach. Springer Berlin / Heidelberg, 2014.

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Hamberg, Roelof, Jacques Verriet, Twan Basten, and Frans Reckers. Model-Based Design of Adaptive Embedded Systems. Springer, 2015.

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Hamberg, Roelof, Jacques Verriet, Twan Basten, and Frans Reckers. Model-Based Design of Adaptive Embedded Systems. Springer London, Limited, 2013.

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Hamberg, Roelof, Twan Basten, and Frans Reckers. Model-Based Design of Adaptive Embedded Systems. Springer, 2013.

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Oulasvirta, Antti, Per Ola Kristensson, Xiaojun Bi, and Andrew Howes, eds. Computational Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.001.0001.

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This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automation, and analysis to inform our understanding of the structure of interaction and also to inform the design of the software that drives new and exciting human-computer interfaces. The methods of computational interaction allow, for example, designers to identify user interfaces that are optimal against some objective criteria. They also allow software engineers to build interactive systems that adapt their behaviour to better suit individual capacities and preferences. Embedded in an iterative design process, computational interaction has the potential to complement human strengths and provide methods for generating inspiring and elegant designs. Computational interaction does not exclude the messy and complicated behaviour of humans, rather it embraces it by, for example, using models that are sensitive to uncertainty and that capture subtle variations between individual users. It also promotes the idea that there are many aspects of interaction that can be augmented by algorithms. This book introduces computational interaction design to the reader by exploring a wide range of computational interaction techniques, strategies and methods. It explains how techniques such as optimisation, economic modelling, machine learning, control theory, formal methods, cognitive models and statistical language processing can be used to model interaction and design more expressive, efficient and versatile interaction.
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Book chapters on the topic "Embedded model control"

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Forrai, Alexandru. "System Identification and Model-Order Reduction." In Embedded Control System Design, 55–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28595-0_3.

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Cueli, J. R. "Iterative Nonlinear Model Predictive Control." In Taming Heterogeneity and Complexity of Embedded Control, 187–210. Newport Beach, CA USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9780470612217.ch12.

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Clarke, Edmund, Ansgar Fehnker, Sumit Kumar Jha, and Helmut Veith. "Temporal Logic Model Checking." In Handbook of Networked and Embedded Control Systems, 539–58. Boston, MA: Birkhäuser Boston, 2005. http://dx.doi.org/10.1007/0-8176-4404-0_23.

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Montestruque, Luis A., and Panos J. Antsaklis. "Networked Control Systems: A Model-Based Approach." In Handbook of Networked and Embedded Control Systems, 601–25. Boston, MA: Birkhäuser Boston, 2005. http://dx.doi.org/10.1007/0-8176-4404-0_26.

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Féron, Eric. "Model-Based Auto Coding of Embedded Control Software with Full Semantics." In Model and Data Engineering, 2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33609-6_2.

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Ocampo-Martínez, Carlos, Ari Ingimundarson, Vicenç Puig, and Joseba Quevedo. "Hybrid Model Predictive Control Applied on Sewer Networks." In Taming Heterogeneity and Complexity of Embedded Control, 523–39. Newport Beach, CA USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9780470612217.ch30.

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Chui, Chee-Kong, Binh P. Nguyen, Yvonne Ho, Zimei Wu, Mai Nguyen, Geok-Soon Hong, Daniel Mok, Sumei Sun, and Stephen Chang. "Embedded Real-Time Model Predictive Control for Glucose Regulation." In IFMBE Proceedings, 1437–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_378.

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Flikkema, Paul G., Pankaj K. Agarwal, James S. Clark, Carla Ellis, Alan Gelfand, Kamesh Munagala, and Jun Yang. "Model-Driven Dynamic Control of Embedded Wireless Sensor Networks." In Computational Science – ICCS 2006, 409–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758532_55.

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Sentilles, Séverine, Aneta Vulgarakis, Tomáš Bureš, Jan Carlson, and Ivica Crnković. "A Component Model for Control-Intensive Distributed Embedded Systems." In Component-Based Software Engineering, 310–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87891-9_21.

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Jianfu, Du, Lu Tiansheng, Zhang Yaou, Wang Geng, and Zhao Zhigang. "Model Predictive Control with Application to a Small-Scale Unmanned Helicopter." In Embedded Systems – Modeling, Technology, and Applications, 131–39. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4933-1_14.

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Conference papers on the topic "Embedded model control"

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Nicotra, Marco M., Dominic Liao-McPherson, and Ilya V. Kolmanovsky. "Dynamically Embedded Model Predictive Control." In 2018 Annual American Control Conference (ACC). IEEE, 2018. http://dx.doi.org/10.23919/acc.2018.8431770.

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Bartok, Roland, Marton L. Kiss, Jozsef Vasarhelyi, Szilveszter Kovacs, and Ahmed Bouzid. "Embedded behavioral model implementation." In 2016 17th International Carpathian Control Conference (ICCC). IEEE, 2016. http://dx.doi.org/10.1109/carpathiancc.2016.7501063.

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Meng Qinglei, Jiang Li, and Li Wei. "An embedded multi-model video encoder." In 2006 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.280867.

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Kone, Ousmane. "Control model for networked embedded applications." In 2008 1st International Conference on Information Technology (IT 2008). IEEE, 2008. http://dx.doi.org/10.1109/inftech.2008.4621601.

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Canuto, Enrico S., and Tommaso D'Anna. "Embedded Model Control and dynamic simulation." In 2006 IEEE Conference on Emerging Technologies and Factory Automation. IEEE, 2006. http://dx.doi.org/10.1109/etfa.2006.355227.

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Viola, Jairo, Sina Dehghan, and YangQuan Chen. "Embedded RIOTS: Model Predictive Control Towards Edge." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97046.

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Abstract RIOTS is a general purpose optimal problem solver written as a MATLAB toolbox with mixed-language programming (C, Fortran, Matlab, Simulink). This first paper introduces how to make RIOTS run under an embedded platform RP3B (Raspberry Pi 3 B) with Windows 10. We presented the system architecture and a complete demo on running RIOTS as the inner kernel for MPC, using a house made thermal control system based on Peltier modules.
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Canuto, Enrico, Carlos Perez Montenegro, Luigi Colangelo, and Mauricio Lotufo. "Embedded Model Control: Design separation under uncertainty." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895544.

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OSPINA, JOSÉ, and ENRICO CANUTO. "EMBEDDED MODEL CONTROL AND THE ERROR LOOP." In Proceedings of the 8th International FLINS Conference. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812799470_0160.

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Sinitsina, Nadezhda V., and Alexander A. Yaroslavtsev. "Model for automated vehicle control using fuzzy logic the fuzzy model of the automated control." In 2017 6th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2017. http://dx.doi.org/10.1109/meco.2017.7977209.

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Boshkovski, G., G. Stojanovski, and M. Stankovski. "Development of embedded model predictive controller." In 2017 13th IEEE International Conference on Control & Automation (ICCA). IEEE, 2017. http://dx.doi.org/10.1109/icca.2017.8003038.

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Reports on the topic "Embedded model control"

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Thornell, Travis, Charles Weiss, Sarah Williams, Jennifer Jefcoat, Zackery McClelland, Todd Rushing, and Robert Moser. Magnetorheological composite materials (MRCMs) for instant and adaptable structural control. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38721.

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Magnetic responsive materials can be used in a variety of applications. For structural applications, the ability to create tunable moduli from relatively soft materials with applied electromagnetic stimuli can be advantageous for light-weight protection. This study investigated magnetorheological composite materials involving carbonyl iron particles (CIP) embedded into two different systems. The first material system was a model cementitious system of CIP and kaolinite clay dispersed in mineral oil. The magnetorheological behaviors were investigated by using parallel plates with an attached magnetic accessory to evaluate deformations up to 1 T. The yield stress of these slurries was measured by using rotational and oscillatory experiments and was found to be controllable based on CIP loading and magnetic field strength with yield stresses ranging from 10 to 104 Pa. The second material system utilized a polystyrene-butadiene rubber solvent-cast films with CIP embedded. The flexible matrix can stiffen and become rigid when an external field is applied. For CIP loadings of 8% and 17% vol %, the storage modulus response for each loading stiffened by 22% and 74%, respectively.
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Chou, Pai, Ken Hines, Kurt Partridge, and Gaetano Borriello. Control Generation for Embedded Systems Based on Composition of Modal Processes. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada416531.

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McGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, November 2014. http://dx.doi.org/10.34074/rsrp.005.

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The aim of this research is to generate a resource to assist construction lecturers in identifying opportunities where Building Information Modelling [BIM] could be employed to augment the delivery of subject content within individual courses on construction technology programmes. The methodology involved a detailed analysis of the learning objectives and underpinning knowledge of the course content by topic area, within the residential Construction Systems 1 course presently delivered at Unitec on the National Diplomas in Architectural Technology[NDAT], Construction Management [NDCM] and Quantity Surveying [NDQS]. The objective is to aid students’ understanding of specific aspects such as planning controls or sub-floor framing by using BIM models, and investigate how these could enhance delivery modes using image,animation and interactive student activity. A framework maps the BIM teaching opportunities against each topic area highlighting where these could be embedded into construction course delivery. This template also records software options and could be used in similar analyses of other courses within similar programmes to assist with embedding BIM in subject delivery.
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McGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, November 2014. http://dx.doi.org/10.34074/rsrp.005.

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The aim of this research is to generate a resource to assist construction lecturers in identifying opportunities where Building Information Modelling [BIM] could be employed to augment the delivery of subject content within individual courses on construction technology programmes. The methodology involved a detailed analysis of the learning objectives and underpinning knowledge of the course content by topic area, within the residential Construction Systems 1 course presently delivered at Unitec on the National Diplomas in Architectural Technology[NDAT], Construction Management [NDCM] and Quantity Surveying [NDQS]. The objective is to aid students’ understanding of specific aspects such as planning controls or sub-floor framing by using BIM models, and investigate how these could enhance delivery modes using image,animation and interactive student activity. A framework maps the BIM teaching opportunities against each topic area highlighting where these could be embedded into construction course delivery. This template also records software options and could be used in similar analyses of other courses within similar programmes to assist with embedding BIM in subject delivery.
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