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Optimal Control For Uncertain Systems
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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 Optimal Control for Uncertain Systems by : Michael Athans
Download or read book Optimal Control for Uncertain Systems written by Michael Athans and published by . This book was released on 1971 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents: Decentralized control for large scale systems; Resource allocation problems; Estimation techniques; Stochastic control and compensation methods; Deterministic compensator design; Differential games and vector-valued criteria; and Air traffic control.
Book Synopsis Optimal Control of Systems with Uncertainty by : W. E. Schmitendorf
Download or read book Optimal Control of Systems with Uncertainty written by W. E. Schmitendorf and published by . This book was released on 1978 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research being performed under AFOSR Grant 76-2923 is concerned with optimally controlling a system to a specified target when disturbances or uncertainties enter the system. Two general problems in this area are being investigated. One problem is that of determining if there exists a control that assures that the system reaches a specified target set for all possible disturbances. If such a control exists, then the next problem is to determine a control which guarantees that the target is reached and it also optimal in the sense of minimizing a specified measure of the system's performance. Our research effort has been directed toward obtaining methods for answering the questions raised by these problems and thereby aiding in the design of controllers for uncertain systems. (Author).
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 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 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 Modern Optimal Control by : E. O. Roxin
Download or read book Modern Optimal Control written by E. O. Roxin and published by CRC Press. This book was released on 1989-07-28 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Randomized Algorithms for Analysis and Control of Uncertain Systems by : Roberto Tempo
Download or read book Randomized Algorithms for Analysis and Control of Uncertain Systems written by Roberto Tempo and published by Springer Science & Business Media. This book was released on 2012-10-21 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. The approach propounded by this text guarantees a reduction in the computational complexity of classical control algorithms and in the conservativeness of standard robust control techniques. The second edition has been thoroughly updated to reflect recent research and new applications with chapters on statistical learning theory, sequential methods for control and the scenario approach being completely rewritten. Features: · self-contained treatment explaining Monte Carlo and Las Vegas randomized algorithms from their genesis in the principles of probability theory to their use for system analysis; · development of a novel paradigm for (convex and nonconvex) controller synthesis in the presence of uncertainty and in the context of randomized algorithms; · comprehensive treatment of multivariate sample generation techniques, including consideration of the difficulties involved in obtaining identically and independently distributed samples; · applications of randomized algorithms in various endeavours, such as PageRank computation for the Google Web search engine, unmanned aerial vehicle design (both new in the second edition), congestion control of high-speed communications networks and stability of quantized sampled-data systems. Randomized Algorithms for Analysis and Control of Uncertain Systems (second edition) is certain to interest academic researchers and graduate control students working in probabilistic, robust or optimal control methods and control engineers dealing with system uncertainties. The present book is a very timely contribution to the literature. I have no hesitation in asserting that it will remain a widely cited reference work for many years. M. Vidyasagar
Book Synopsis Optimal Control and Estimation by : Robert F. Stengel
Download or read book Optimal Control and Estimation written by Robert F. Stengel and published by Courier Corporation. This book was released on 1994-09-20 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An excellent introduction to optimal control and estimation theory and its relationship with LQG design. . . . invaluable as a reference for those already familiar with the subject." — Automatica. This highly regarded graduate-level text provides a comprehensive introduction to optimal control theory for stochastic systems, emphasizing application of its basic concepts to real problems. The first two chapters introduce optimal control and review the mathematics of control and estimation. Chapter 3 addresses optimal control of systems that may be nonlinear and time-varying, but whose inputs and parameters are known without error. Chapter 4 of the book presents methods for estimating the dynamic states of a system that is driven by uncertain forces and is observed with random measurement error. Chapter 5 discusses the general problem of stochastic optimal control, and the concluding chapter covers linear time-invariant systems. Robert F. Stengel is Professor of Mechanical and Aerospace Engineering at Princeton University, where he directs the Topical Program on Robotics and Intelligent Systems and the Laboratory for Control and Automation. He was a principal designer of the Project Apollo Lunar Module control system. "An excellent teaching book with many examples and worked problems which would be ideal for self-study or for use in the classroom. . . . The book also has a practical orientation and would be of considerable use to people applying these techniques in practice." — Short Book Reviews, Publication of the International Statistical Institute. "An excellent book which guides the reader through most of the important concepts and techniques. . . . A useful book for students (and their teachers) and for those practicing engineers who require a comprehensive reference to the subject." — Library Reviews, The Royal Aeronautical Society.
Book Synopsis Nonlinear and Optimal Control Systems by : Thomas L. Vincent
Download or read book Nonlinear and Optimal Control Systems written by Thomas L. Vincent and published by John Wiley & Sons. This book was released on 1997-06-23 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for one-semester introductory senior-or graduate-level course, the authors provide the student with an introduction of analysis techniques used in the design of nonlinear and optimal feedback control systems. There is special emphasis on the fundamental topics of stability, controllability, and optimality, and on the corresponding geometry associated with these topics. Each chapter contains several examples and a variety of exercises.
Book Synopsis Decentralized Control of Uncertain Systems Via Sensitivity Models by :
Download or read book Decentralized Control of Uncertain Systems Via Sensitivity Models written by and published by . This book was released on 1993 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we present a decentralized strategy for optimal control of interconnected systems exhibiting parametric uncertainty. First, we demonstrate that sensitivity models for linear interconnected systems can be generated at each subsystem using only locally available information. Second, we present an optimal control law that incorporates sensitivity functions in the feedback path. The control scheme is completely decentralized and is proposed as a means of making the closed loop system less sensitive to parameter deviations. Finally, we give an example of an interconnected system and show how this control strategy is implemented.
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 Robust Control Design Using H-∞ Methods by : Ian R. Petersen
Download or read book Robust Control Design Using H-∞ Methods written by Ian R. Petersen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a unified collection of important recent results for the design of robust controllers for uncertain systems, primarily based on H8 control theory or its stochastic counterpart, risk sensitive control theory. Two practical applications are used to illustrate the methods throughout.
Book Synopsis Stabilization of Nonlinear Uncertain Systems by : Miroslav Krstic
Download or read book Stabilization of Nonlinear Uncertain Systems written by Miroslav Krstic and published by Communications and Control Engineering. This book was released on 1998-05-21 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents the fundamentals of global stabilization and optimal control of nonlinear systems with uncertain models. It offers a unified view of deterministic disturbance attenuation, stochastic control, and adaptive control for nonlinear systems. The book addresses researchers in the areas of robust and adaptive nonlinear control, nonlinear H-infinity stochastic control, and other related areas of control and dynamical systems theory.
Book Synopsis Adaptive Dynamic Programming: Single and Multiple Controllers by : Ruizhuo Song
Download or read book Adaptive Dynamic Programming: Single and Multiple Controllers written by Ruizhuo Song and published by Springer. This book was released on 2018-12-28 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices.
Book Synopsis Minimax Optimal Control of Stochastic Uncertain Systems with Relative Entropy Constraints by : Ian R. Petersen
Download or read book Minimax Optimal Control of Stochastic Uncertain Systems with Relative Entropy Constraints written by Ian R. Petersen and published by . This book was released on 1997 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Control of Nonlinear Uncertain Systems by : Zhihua Qu
Download or read book Robust Control of Nonlinear Uncertain Systems written by Zhihua Qu and published by Wiley-VCH. This book was released on 1998-04-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely work presents the definitive treatment of stability analysis and robust control design for nonlinear uncertain systems. While other books on the subject deal with robust control in linear systems, this is the first book to tackle robust control design for such nonlinear entities as power systems, robotics, and more. It combines examples, proofs, and applications-clearly showing how to build high performance and better control into systems that are too complex to be modeled accurately. A unique feature of this book is its Lyapunov-based approach to control design, which is the only universal approach for nonlinear systems. The Lyapunov direct method is used here to develop all design procedures, to correlate leading techniques in the field to the structural properties of uncertain systems, and to compare robust and nonrobust types of controls such as adaptive control, learning control, and optimal control. The subject is introduced with a self-contained treatment of the nonlinear stability theory originally proposed by Lyapunov and LaSalle. Emphasizing the basics, the introductory chapters incorporate three types of solutions, stability concepts, and various theorems. The main body of the text offers a comprehensive treatment for current design methods, including state space robust control designs, properties of various robust controllers, input-output control, and discrete robust control designs. In Robust Control of Nonlinear Uncertain Systems, author Zhihua Qu presents the complete set of control design procedures for nonlinear uncertain systems, including backward recurisve design, forward recursive design, recursive-interlacing design, feedback linearization, nonlinear optimal control, and sub-optimal control. Also featured here is the breakthrough recursive interlacing design that facilitates robust control for uncertain systems with all cascaded, feedback, and feedforward dynamics. Throughout, Professor Qu presents the pros and cons of specific methods, rationales for choosing particular design parameters,and tips on questions of stability, performance, and systems structure. For engineers and graduate students in mechanical, electrical, and aerospace engineering, Robust Control of Nonlinear Uncertain Systems imparts the technical know-how for effective design, explores key theoretical issues in control, and provides insight into future trends in the field.
Book Synopsis Control of Uncertain Systems with a Set-Membership Description of the Uncertainty by : Dimitri Panteli Bertsekas
Download or read book Control of Uncertain Systems with a Set-Membership Description of the Uncertainty written by Dimitri Panteli Bertsekas and published by . This book was released on 1971 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of optimal feedback control of uncertain discrete-time dynamic systems is considered, where the uncertain quantities do not have a stochastic description but instead they are known to belong to given sets. The problem is converted to a sequential minimax problem and dynamic programming is suggested as a general method for its solution. The notion of a sufficiently informative function, which parallels the notion of a sufficient statistic of stochastic optimal control, is introduced, and the possible decomposition of the optimal controller into an estimator and an actuator is demonstrated. Some special cases involving a linear system are further examined. A problem involving a convex cost functional and perfect state information for the controller is considered in detail. Particular attention is given to a special case, the problem of reachability of a target tube, and an ellipsoidal approximation algorithm is obtained which leads to linear control laws. State estimation problems are also examined, and some algorithms are derived which offer distinct advantages over existing estimation schemes. These algorithms are subsequently used in the solution of some reachability problems with imperfect state information for the controller. (Author).
