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Book Uncertain Optimal Control

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 Optimal Control of Systems with Uncertainty

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 Optimal Control  Expectations and Uncertainty

Download or read book Optimal Control Expectations and Uncertainty written by Sean Holly and published by Cambridge University Press. This book was released on 1989-07-20 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of how the rational expectations revolution and game theory have enhanced the understanding of how an economy functions.

Book Optimal Control of Systems with Uncertainty

Download or read book Optimal Control of Systems with Uncertainty written by W. E. Schmitendorf and published by . This book was released on 1976 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: This investigation of static minmax problems has produced necessary and sufficient conditions which can be used to solve such problems. This has also led to a clearer understanding of the nature of minmax problems for dynamic problems with uncertainty in the state equations or in the initial conditions, sufficient conditions were derived which the minmax control must satisfy and, using these conditions, constructive techniques were developed which can be used to generate minmax solutions. These methods are now available for solving minmax problems and can be used to analyze problems where there is uncertainty in the model or in the measurement of the initial state. These methods will aid in the design of systems where exact models of the systems are not available or where exact measurements of the state of the system cannot be obtainted. (Author).

Book Uncertain Optimal Control

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 Optimal Control of Water Systems Under Forecast Uncertainty

Download or read book Optimal Control of Water Systems Under Forecast Uncertainty written by and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Optimal Control and Estimation

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 674 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 Robust Control Design Using H     Methods

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 Uncertainty and Optimal Control

Download or read book Uncertainty and Optimal Control written by Donald S. Macko and published by . This book was released on 1962 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: The success of so-called optimal control is investigated, by comparing the performance of an optimal control system to the performance of a control system considered as suboptimal, for non-trivial situations where uncertainties regarding the future behavior of the system or its environment exist. It is shown by analytical considerations that optimal control is successful only in limited and restricted circumstances and, more so, that the introduction of optimal control can deteriorate rather than improve the over-all system performance. Some criteria are suggested upon which a decision can be based regarding an optimal control mode. A number of numerical examples are presented in order to indicate the regions in uncertainty space where the optimal control is successful and the regions where the control considered as suboptimal is better than the so-called optimal control. (Author).

Book Linear Control Theory

Download or read book Linear Control Theory written by Shankar P. Bhattacharyya and published by CRC Press. This book was released on 2018-10-03 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt: Successfully classroom-tested at the graduate level, Linear Control Theory: Structure, Robustness, and Optimization covers three major areas of control engineering (PID control, robust control, and optimal control). It provides balanced coverage of elegant mathematical theory and useful engineering-oriented results. The first part of the book develops results relating to the design of PID and first-order controllers for continuous and discrete-time linear systems with possible delays. The second section deals with the robust stability and performance of systems under parametric and unstructured uncertainty. This section describes several elegant and sharp results, such as Kharitonov’s theorem and its extensions, the edge theorem, and the mapping theorem. Focusing on the optimal control of linear systems, the third part discusses the standard theories of the linear quadratic regulator, Hinfinity and l1 optimal control, and associated results. Written by recognized leaders in the field, this book explains how control theory can be applied to the design of real-world systems. It shows that the techniques of three term controllers, along with the results on robust and optimal control, are invaluable to developing and solving research problems in many areas of engineering.

Book Optimal Control  Expectations and Uncertainty

Download or read book Optimal Control Expectations and Uncertainty written by Sean Holly and published by Cambridge University Press. This book was released on 2010-01-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rational expectations revolution and other developments in economics (notably game theory) have fundamentally altered the application of optimal control theory to economic forecasting and planning. In particular, they have shown that economic systems cannot be modeled simplistically on physical systems. However, as the authors show, these developments have greatly enhanced our understanding of how an economy functions, and now make it possible for optimal control theory to be applied much more effectively to economic modeling and planning.

Book Optimal and Robust Control

Download or read book Optimal and Robust Control written by Luigi Fortuna and published by CRC Press. This book was released on 2012-02-02 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: While there are many books on advanced control for specialists, there are few that present these topics for nonspecialists. Assuming only a basic knowledge of automatic control and signals and systems, Optimal and Robust Control: Advanced Topics with MATLAB® offers a straightforward, self-contained handbook of advanced topics and tools in automatic control. Techniques for Controlling System Performance in the Presence of Uncertainty The book deals with advanced automatic control techniques, paying particular attention to robustness—the ability to guarantee stability in the presence of uncertainty. It explains advanced techniques for handling uncertainty and optimizing the control loop. It also details analytical strategies for obtaining reduced order models. The authors then propose using the Linear Matrix Inequalities (LMI) technique as a unifying tool to solve many types of advanced control problems. Topics covered include: LQR and H-infinity approaches Kalman and singular value decomposition Open-loop balancing and reduced order models Closed-loop balancing Passive systems and bounded-real systems Criteria for stability control This easy-to-read text presents the essential theoretical background and provides numerous examples and MATLAB exercises to help the reader efficiently acquire new skills. Written for electrical, electronic, computer science, space, and automation engineers interested in automatic control, this book can also be used for self-study or for a one-semester course in robust control.

Book Uncertain Models and Robust Control

Download or read book Uncertain Models and Robust Control written by Alexander Weinmann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 699 pages. Available in PDF, EPUB and Kindle. Book excerpt: This coherent introduction to the theory and methods of robust control system design clarifies and unifies the presentation of significant derivations and proofs. The book contains a thorough treatment of important material of uncertainties and robust control otherwise scattered throughout the literature.

Book Nonlinear Industrial Control Systems

Download or read book Nonlinear Industrial Control Systems written by Michael J. Grimble and published by Springer Nature. This book was released on 2020-05-19 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.

Book Minmax Control of Systems with Uncertainty in the Initial State and in the State Equations

Download or read book Minmax Control of Systems with Uncertainty in the Initial State and in the State Equations written by W. E. Schmitendorf and published by . This book was released on 1976 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates optimal control problems where there is uncertainty in the initial state measurement or where there are uncertain parameters in the state equations. It is assumed that nature will choose the uncertainty to maximize the cost which the controller is attempting to minimize. Thus a minmax control is sought. Sufficient conditions for a control to be a minmax control are presented. These conditions suggest methods for finding the minmax control and such techniques are described. The application of these methods is illustrated by example problems.

Book Homotopy Method for Optimal Control of Linear Systems with Parameter Uncertainty

Download or read book Homotopy Method for Optimal Control of Linear Systems with Parameter Uncertainty written by Jae Hong Lim and published by . This book was released on 1993 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: