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Optimal Control Of Switched Input And Uncertain Systems
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Book Synopsis Optimal Control of Switched-input and Uncertain Systems by : Kristian Nolde
Download or read book Optimal Control of Switched-input and Uncertain Systems written by Kristian Nolde and published by . This book was released on 2008 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is concerned with three application fields that deal with optimal control of switched-input and uncertain systems. It shows how to effectively compute optimal control inputs for them.The first application field is the development of an optimal controller for thermal printheads. A robust printhead controller is developed that shows a measurable and significant quality gain when printing barcodes. In the second field two load tracking scheduling problems are presented. One is the scheduling of employees so that the employee presence tracks a pre-specified demand curve. The other is concerned with the energy-cost optimal scheduling of a steel plant. The third field is concerned with the medium term control of a hydro-thermal system. The results of the different projects are related to each other and observations on the computational complexity of the application projects are given.
Book Synopsis Uncertain Optimal Control by : Yuanguo Zhu
Download or read book Uncertain Optimal Control written by Yuanguo Zhu and published by Springer. This book was released on 2018-08-29 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control. These models, which have continuous-time forms and discrete-time forms, make use of dynamic programming. The uncertain optimal control theory relates to equations of optimality, uncertain bang-bang optimal control, optimal control with switched uncertain system, and optimal control for uncertain system with time-delay. Uncertain optimal control has applications in portfolio selection, engineering, and games. The book is a useful resource for researchers, engineers, and students in the fields of mathematics, cybernetics, operations research, industrial engineering, artificial intelligence, economics, and management science.
Book Synopsis Switching in Systems and Control by : Daniel Liberzon
Download or read book Switching in Systems and Control written by Daniel Liberzon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of switched systems is related to the study of hybrid systems, which has gained attention from control theorists, computer scientists, and practicing engineers. This book examines switched systems from a control-theoretic perspective, focusing on stability analysis and control synthesis of systems that combine continuous dynamics with switching events. It includes a vast bibliography and a section of technical and historical notes.
Book Synopsis Control of Uncertain Systems: Modelling, Approximation, and Design by : Bruce A. Francis
Download or read book Control of Uncertain Systems: Modelling, Approximation, and Design written by Bruce A. Francis and published by Taylor & Francis. This book was released on 2006-03-07 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift contains a collection of articles by friends, co-authors, colleagues, and former Ph.D. students of Keith Glover, Professor of Engineering at the University of Cambridge, on the occasion of his sixtieth birthday. Professor Glover's scientific work spans a wide variety of topics, the main themes being system identification, model reduction and approximation, robust controller synthesis, and control of aircraft and engines. The articles in this volume are a tribute to Professor Glover's seminal work in these areas.
Book Synopsis Uncertain Optimal Control by : Yuanguo Zhu
Download or read book Uncertain Optimal Control written by Yuanguo Zhu and published by . This book was released on 2019 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control. These models, which have continuous-time forms and discrete-time forms, make use of dynamic programming. The uncertain optimal control theory relates to equations of optimality, uncertain bang-bang optimal control, optimal control with switched uncertain system, and optimal control for uncertain system with time-delay. Uncertain optimal control has applications in portfolio selection, engineering, and games. The book is a useful resource for researchers, engineers, and students in the fields of mathematics, cybernetics, operations research, industrial engineering, artificial intelligence, economics, and management science.
Book Synopsis Switched Linear Systems by : Zhendong Sun
Download or read book Switched Linear Systems written by Zhendong Sun and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Switched linear systems have enjoyed a particular growth in interest since the 1990s. The large amount of data and ideas thus generated have, until now, lacked a co-ordinating framework to focus them effectively on some of the fundamental issues such as the problems of robust stabilizing switching design, feedback stabilization and optimal switching. This deficiency is resolved by this book which features: nucleus of constructive design approaches based on canonical decomposition and forming a sound basis for the systematic treatment of secondary results; theoretical exploration and logical association of several independent but pivotal concerns in control design as they pertain to switched linear systems: controllability and observability, feedback stabilization, optimization and periodic switching; a reliable foundation for further theoretical research as well as design guidance for real life engineering applications through the integration of novel ideas, fresh insights and rigorous results.
Book Synopsis Switched Time-Delay Systems by : Magdi S. Mahmoud
Download or read book Switched Time-Delay Systems written by Magdi S. Mahmoud and published by Springer Science & Business Media. This book was released on 2010-09-14 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many practical applications we deal with a wide class of dynamical systems that are comprised of a family of continuous-time or discrete-time subsystems and a rule orchestrating the switching between the subsystems. This class of systems is frequently called switched system. Switched linear systems provide a framework that bridges the linear systems and the complex and/or uncertain systems. The mo- vation for investigating this class of systems is twofold: ?rst, it has an inherent multi-modal behavior in the sense that several dynamical subsystems are required to describe their behavior, which might depend on various environmental factors. Second, the methods of intelligent control systems are based on the idea of swit- ing between different controllers. Looked at in this light, switched systems provide an integral framework to deal with complex system behaviors such as chaos and multiple limit cycles and gain more insights into powerful tools such as intelligent control, adaptive control, and robust control. Switched systems have been inves- gated for a long time in the control and systems literature and have increasingly attracted more attention for the past three decades. The number of journal articles, books, and conference papers have grown exponentially and a number of fundam- tal concepts and powerful tools have been developed. It has been pointed out that switched systems have been studied from various viewpoints.
Book Synopsis Calculus of Variations and Optimal Control Theory by : Daniel Liberzon
Download or read book Calculus of Variations and Optimal Control Theory written by Daniel Liberzon and published by Princeton University Press. This book was released on 2012 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook offers a concise yet rigorous introduction to calculus of variations and optimal control theory, and is a self-contained resource for graduate students in engineering, applied mathematics, and related subjects. Designed specifically for a one-semester course, the book begins with calculus of variations, preparing the ground for optimal control. It then gives a complete proof of the maximum principle and covers key topics such as the Hamilton-Jacobi-Bellman theory of dynamic programming and linear-quadratic optimal control. Calculus of Variations and Optimal Control Theory also traces the historical development of the subject and features numerous exercises, notes and references at the end of each chapter, and suggestions for further study. Offers a concise yet rigorous introduction Requires limited background in control theory or advanced mathematics Provides a complete proof of the maximum principle Uses consistent notation in the exposition of classical and modern topics Traces the historical development of the subject Solutions manual (available only to teachers) Leading universities that have adopted this book include: University of Illinois at Urbana-Champaign ECE 553: Optimum Control Systems Georgia Institute of Technology ECE 6553: Optimal Control and Optimization University of Pennsylvania ESE 680: Optimal Control Theory University of Notre Dame EE 60565: Optimal Control
Book Synopsis Robust Stabilization of Uncertain Systems and H∞ Optimal Control by : Pramod P. Khargonekar
Download or read book Robust Stabilization of Uncertain Systems and H∞ Optimal Control written by Pramod P. Khargonekar and published by . This book was released on 1988 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stabilization and H∞ Control of Switched Dynamic Systems by : Jun Fu
Download or read book Stabilization and H∞ Control of Switched Dynamic Systems written by Jun Fu and published by Springer Nature. This book was released on 2020-09-24 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents several novel constructive methodologies for global stabilization and H-infinity control in switched dynamic systems by using the systems’ structure information. The main features of these new approaches are twofold: i) Novel Lyapunov functions are constructed and new switching strategies are designed to guarantee global finite-time stabilization of the closed-loop switched dynamic systems,while ii) without posing any internal stability requirements on subsystems, the standard H-infinity control problem of the switched dynamic systems is solved by means of dwell-time switching techniques. Systematically presenting constructive methods for analyzing and synthesizing switched systems, the content is of great significance to theoretical research and practical applications involving switched systems alike. The book provides a unified framework for stability analysis, stabilization and H-infinity control of switched systems, making it a valuable resource for researchers and graduate students who want to learn about the state of the art in the analysis and synthesis of switched systems, as well as recent advances in switched linear systems. In addition, it offers a wealth of cutting-edge constructive methods and algorithm designs for researchers who work with switched dynamic systems and graduate students of control theory and control engineering.
Book Synopsis Set-Theoretic Methods in Control by : Franco Blanchini
Download or read book Set-Theoretic Methods in Control written by Franco Blanchini and published by Birkhäuser. This book was released on 2015-07-02 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this monograph describes the set-theoretic approach for the control and analysis of dynamic systems, both from a theoretical and practical standpoint. This approach is linked to fundamental control problems, such as Lyapunov stability analysis and stabilization, optimal control, control under constraints, persistent disturbance rejection, and uncertain systems analysis and synthesis. Completely self-contained, this book provides a solid foundation of mathematical techniques and applications, extensive references to the relevant literature, and numerous avenues for further theoretical study. All the material from the first edition has been updated to reflect the most recent developments in the field, and a new chapter on switching systems has been added. Each chapter contains examples, case studies, and exercises to allow for a better understanding of theoretical concepts by practical application. The mathematical language is kept to the minimum level necessary for the adequate formulation and statement of the main concepts, yet allowing for a detailed exposition of the numerical algorithms for the solution of the proposed problems. Set-Theoretic Methods in Control will appeal to both researchers and practitioners in control engineering and applied mathematics. It is also well-suited as a textbook for graduate students in these areas. Praise for the First Edition "This is an excellent book, full of new ideas and collecting a lot of diverse material related to set-theoretic methods. It can be recommended to a wide control community audience." - B. T. Polyak, Mathematical Reviews "This book is an outstanding monograph of a recent research trend in control. It reflects the vast experience of the authors as well as their noticeable contributions to the development of this field...[It] is highly recommended to PhD students and researchers working in control engineering or applied mathematics. The material can also be used for graduate courses in these areas." - Octavian Pastravanu, Zentralblatt MATH
Book Synopsis Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence by : De-Shuang Huang
Download or read book Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence written by De-Shuang Huang and published by Springer Science & Business Media. This book was released on 2008-08-28 with total page 1277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Book Synopsis Advanced Optimal Control and Applications Involving Critic Intelligence by : Ding Wang
Download or read book Advanced Optimal Control and Applications Involving Critic Intelligence written by Ding Wang and published by Springer Nature. This book was released on 2023-01-21 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems.
Book Synopsis Self-Learning Optimal Control of Nonlinear Systems by : Qinglai Wei
Download or read book Self-Learning Optimal Control of Nonlinear Systems written by Qinglai Wei and published by Springer. This book was released on 2017-06-13 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum. With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.
Book Synopsis Optimal Control and Reinforcement Learning of Switched Systems by : Hua Chen (Ph. D. in electrical engineering)
Download or read book Optimal Control and Reinforcement Learning of Switched Systems written by Hua Chen (Ph. D. in electrical engineering) and published by . This book was released on 2018 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation studies optimal control and reinforcement learning of switched systems. Roughly speaking, a switched system consists of several subsystems and a switching signal determining which subsystem is being used for evolving the system dynamics at each time instant. Optimal control of such switched systems involves finding the discrete switching signal and the associated continuous input into the chosen subsystem to jointly optimize certain performance index. It is widely known in the literature that optimal control of switched systems is challenging to solve, mainly due to the discrete nature of the switching signal that makes the overall problem combinatorial. Two problems with different settings are considered in this dissertation. The first problem we consider is a general optimal control of continuous-time nonlinear switched systems. We focus on the so-called embedding-based approach. Rather than proposing new embedding-based algorithms, we develop a framework originating from a novel topological perspective of the embedding-based technique. The proposed framework unifies most existing embedding-based algorithms as special cases and provides guidance on how to construct new ones. The second problem studied in this dissertation is optimal control of discrete-time switched linear system. Due to the fact that knowledge about accurate system dynamics is in general hard to obtain for practical systems, we do not assume knowledge about the system model. Alternatively, a simulator is adopted for generating the successive state given any state-input pair. Based on this simulator, we utilize the reinforcement learning framework for solving the problem in a model-free manner. Instead of directly applying existing neural network based algorithms, we develop a distinct Q-learning algorithm which explicitly incorporates the analytical insights about the optimal solution from traditional optimal control. In particular, a specific parametric Q-function approximation is proposed. To update the involved parameters, two approaches based on different structural information of the underlying model are adopted.
Book Synopsis Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems by : Eli Gershon
Download or read book Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems written by Eli Gershon and published by Springer. This book was released on 2013-03-27 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems begins with an introduction and extensive literature survey. The text proceeds to cover the field of H∞ time-delay linear systems where the issues of stability and L2−gain are presented and solved for nominal and uncertain stochastic systems, via the input-output approach. It presents solutions to the problems of state-feedback, filtering, and measurement-feedback control for these systems, for both the continuous- and the discrete-time settings. In the continuous-time domain, the problems of reduced-order and preview tracking control are also presented and solved. The second part of the monograph concerns non-linear stochastic state- multiplicative systems and covers the issues of stability, control and estimation of the systems in the H∞ sense, for both continuous-time and discrete-time cases. The book also describes special topics such as stochastic switched systems with dwell time and peak-to-peak filtering of nonlinear stochastic systems. The reader is introduced to six practical engineering- oriented examples of noisy state-multiplicative control and filtering problems for linear and nonlinear systems. The book is rounded out by a three-part appendix containing stochastic tools necessary for a proper appreciation of the text: a basic introduction to stochastic control processes, aspects of linear matrix inequality optimization, and MATLAB codes for solving the L2-gain and state-feedback control problems of stochastic switched systems with dwell-time. Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems will be of interest to engineers engaged in control systems research and development, to graduate students specializing in stochastic control theory, and to applied mathematicians interested in control problems. The reader is expected to have some acquaintance with stochastic control theory and state-space-based optimal control theory and methods for linear and nonlinear systems.
Book Synopsis Optimal Control and Estimation Strategies for Nonlinear and Switched Systems by : Mehdi Abedinpour Fallah
Download or read book Optimal Control and Estimation Strategies for Nonlinear and Switched Systems written by Mehdi Abedinpour Fallah and published by . This book was released on 2011 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation includes two main parts. In the first part, the main contribution is to use an inverse optimality approach to analytically solve the Hamilton-Jacobi-Bellman equation of a third order nonlinear optimal control problem for which the dynamics are affine and the cost is quadratic in the input. One special advantage of this work is that the solution is directly obtained for the control input without finding a value function first. However, the value function can be obtained after one solves for the control input and it is shown to be at least a local Lyapunov function. Furthermore, the developed controller is combined with a Continuous-Discrete Extended Kalman Filter (CDEKF) as an approach to deal with noisy measurements and provide an estimate of the states for feedback. The proposed technique is illustrated by its application to a path following problem of a Wheeled Mobile Robot (WMR). The main contribution of the second part of this thesis is the development of two recursive state estimation algorithms for discrete-time piecewise affine (PWA) singular systems with simulation evidence that the idea works for both uncorrelated and correlated process and measurement noise. The proposed algorithms are derived based on successive QR decompositions and Maximum Likelihood (ML) estimation theory. Numerical examples are presented for the case of a PWA system with an unknown input, transformed to a PWA singular system.
