Download or read book The Optimal and Suboptimal Control of a Parameter Adaptive Control Problem written by Elliot Horowitz and published by . This book was released on 1966 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Approach to the Parameter Adaptive Control Problem written by George N. Saridis and published by . This book was released on 1968 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: The report presents an approach to the design of adaptive controllers for digital control problems involving linear stochastic systems with unknown parameters and performance indices which are quadratic functions of the state and control variables. The method is based upon two approximate solutions of the dynamic programming equation which is associated with the adaptive control problem. One solution constitutes an upper bound on the optimal cost of the adaptive control process, and the second solution constitutes a lower bound on the optimal cost. The upper bound leads to a control system which is linear in the state estimates and which realizes an actual operating cost less than or equal to the upper bound. This linear control system is developed in detail for systems with parameters which assume only finitely many values. Its performance is illustrated with a simple example. Several extentions and variations of the basic approach developed in the thesis are also discussed. These include systems with correlated measurement noise, systems with Markov dependent parameters, a special non-adaptive controller configuration, and infinite time adaptive control processes. (Author).

Download or read book Optimization and Optimal Control written by Altannar Chinchuluun and published by Springer Science & Business Media. This book was released on 2010-08-05 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization and optimal control are the main tools in decision making. Because of their numerous applications in various disciplines, research in these areas is accelerating at a rapid pace. “Optimization and Optimal Control: Theory and Applications” brings together the latest developments in these areas of research as well as presents applications of these results to a wide range of real-world problems. This volume can serve as a useful resource for researchers, practitioners, and advanced graduate students of mathematics and engineering working in research areas where results in optimization and optimal control can be applied.

Download or read book Adaptive Control of Stochastic Linear Systems with Unknown Parameters written by Richard Tse-Min Ku and published by . This book was released on 1972 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thesis considers the problem of optimal control of linear discrete-time stochastic dynamical system with unknown and, possibly, stochastically varying parameters on the basis of noisy measurements. It is desired to minimize the expected value of a quadratic cost functional. Since the simultaneous estimation of the state and plant parameters is a nonlinear filtering problem, the extended Kalman filter algorithm is used. The open-loop feedback optimal control technique is investigated as a computationally feasible solution to the adaptive stochastic control problem. The open-loop feedback optimal control system adaptive gains depend on the current and future uncertainty of the parameters estimation. Thus, the standard Separation Theorem does not hold in this problem. Suboptimal control system in which Separation Theorem is arbitrarily enforced is also considered. (Author).

Download or read book Adaptive Control Systems written by Chalam and published by Routledge. This book was released on 2017-10-19 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: impossible to access. It has been widely scattered in papers, reports, and proceedings ofsymposia, with different authors employing different symbols and terms. But now thereis a book that covers all aspects of this dynamic topic in a systematic manner.Featuring consistent terminology and compatible notation, and emphasizing unifiedstrategies, Adaptive Control Systems provides a comprehensive, integrated accountof basic concepts, analytical tools, algorithms, and a wide variety of application trendsand techniques.Adaptive Control Systems deals not only with the two principal approachesmodelreference adaptive control and self-tuning regulators-but also considers otheradaptive strategies involving variable structure systems, reduced order schemes, predictivecontrol, fuzzy logic, and more. In addition, it highlights a large number of practical applicationsin a range of fields from electrical to biomedical and aerospace engineering ...and includes coverage of industrial robots.The book identifies current trends in the development of adaptive control systems ...delineates areas for further research . : . and provides an invaluable bibliography of over1,200 references to the literature.The first authoritative reference in this important area of work, Adaptive ControlSystems is an essential information source for electrical and electronics, R&D,chemical, mechanical, aerospace, biomedical, metallurgical, marine, transportation, andpower plant engineers. It is also useful as a text in professional society seminars and inhousetraining programs for personnel involved with the control of complex systems, andfor graduate students engaged in the study of adaptive control systems.

Download or read book Adaptive Optimal Control written by Robert R. Bitmead and published by . This book was released on 1990 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring connections between adaptive control theory and practice, this book treats the techniques of linear quadratic optimal control and estimation (Kalman filtering), recursive identification, linear systems theory and robust arguments.

Download or read book A Class of Adaptive Control Problems Solved Via Stochastic Control written by and published by . This book was released on 1988 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following a set up investigated by Rishel we consider an adaptive control problem with unknown parameter x as a partially observed stochastic control problem. Exploiting the finite dimensionality of the estimator, we transform it to a fully observed stochastic optimal control problem to which we then find epsilon-optimal randomized feedback policies.

Download or read book Adaptive Systems in Control and Signal Processing 1995 written by Cs. Banyasz and published by Elsevier. This book was released on 2014-05-23 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading academic and industrial researchers working with adaptive systems and signal processing have been given the opportunity to exchange ideas, concepts and solutions at the IFAC Symposia on Adaptive Systems in Control and Signal Processing. This postprint volume contains all those papers which were presented at the 5th IFAC Symposium in Budapest in 1995. The technical program was composed of a number of invited and contributed sessions and a special case study session, providing a good balance between applications and theory oriented papers.

Download or read book Entropy in Control Engineering written by George N. Saridis and published by World Scientific. This book was released on 2001 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ch. 1. Entropy, control, chaos -- ch. 2. Stochastic optimal estimation and control -- ch. 3. Review of intelligent control systems -- ch. 4. Reliability as entropy -- ch. 5. Entropy in intelligent manufacturing -- ch. 6. Entropy control of ecosystems -- ch. 7. A case study on optimal control of intelligent space Truss assembly -- ch. 8. Conclusions.

Download or read book Advances in Control Systems written by C. T. Leondes and published by Elsevier. This book was released on 2014-12-01 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Control Systems: Theory and Applications, Volume 1 provides information pertinent to the significant progress in the field of automatic control. This book presents several fundamental approaches to algorithms for the determination of optimum control inputs to a system. Organized into six chapters, this volume begins with an overview of the optimal method of controlling a given system with respect to the given criterion of performance. This text then summarizes some of the basic results of the maximum principle and illustrates how they may be exploited in control system studies. Other chapters consider the fundamental approach underlying almost all the existing works on the control of distributed parameter systems. This book discusses as well some important concepts in the theory of optimal control. The final chapter deals with the problem of controlling processes under the condition of uncertain changes in the process to be controlled. This book is a valuable resource for practicing engineers, applied mathematicians, and scientists.

Download or read book Adaptive Control Tutorial written by Petros Ioannou and published by SIAM. This book was released on 2006-01-01 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters.

Download or read book Optimal Design of Control Systems written by Gennadii E. Kolosov and published by CRC Press. This book was released on 2020-08-26 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical systems-with applications in aerospace, robotic, and servomechanical technologies. Providing new results on exact and approximate solutions of optimal control problems."

Download or read book Theory of Games and Statistical Decisions written by David A. Blackwell and published by Courier Corporation. This book was released on 2012-06-14 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluating statistical procedures through decision and game theory, as first proposed by Neyman and Pearson and extended by Wald, is the goal of this problem-oriented text in mathematical statistics. First-year graduate students in statistics and other students with a background in statistical theory and advanced calculus will find a rigorous, thorough presentation of statistical decision theory treated as a special case of game theory. The work of Borel, von Neumann, and Morgenstern in game theory, of prime importance to decision theory, is covered in its relevant aspects: reduction of games to normal forms, the minimax theorem, and the utility theorem. With this introduction, Blackwell and Professor Girshick look at: Values and Optimal Strategies in Games; General Structure of Statistical Games; Utility and Principles of Choice; Classes of Optimal Strategies; Fixed Sample-Size Games with Finite Ω and with Finite A; Sufficient Statistics and the Invariance Principle; Sequential Games; Bayes and Minimax Sequential Procedures; Estimation; and Comparison of Experiments. A few topics not directly applicable to statistics, such as perfect information theory, are also discussed. Prerequisites for full understanding of the procedures in this book include knowledge of elementary analysis, and some familiarity with matrices, determinants, and linear dependence. For purposes of formal development, only discrete distributions are used, though continuous distributions are employed as illustrations. The number and variety of problems presented will be welcomed by all students, computer experts, and others using statistics and game theory. This comprehensive and sophisticated introduction remains one of the strongest and most useful approaches to a field which today touches areas as diverse as gambling and particle physics.

Download or read book Adaptive Dynamic Programming for Control written by Huaguang Zhang and published by Springer Science & Business Media. This book was released on 2012-12-14 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and time-delay nonlinear systems are discussed as are the uses of neural networks and techniques of value and policy iteration. The text features three main aspects of ADP in which the methods proposed for stabilization and for tracking and games benefit from the incorporation of optimal control methods: • infinite-horizon control for which the difficulty of solving partial differential Hamilton–Jacobi–Bellman equations directly is overcome, and proof provided that the iterative value function updating sequence converges to the infimum of all the value functions obtained by admissible control law sequences; • finite-horizon control, implemented in discrete-time nonlinear systems showing the reader how to obtain suboptimal control solutions within a fixed number of control steps and with results more easily applied in real systems than those usually gained from infinite-horizon control; • nonlinear games for which a pair of mixed optimal policies are derived for solving games both when the saddle point does not exist, and, when it does, avoiding the existence conditions of the saddle point. Non-zero-sum games are studied in the context of a single network scheme in which policies are obtained guaranteeing system stability and minimizing the individual performance function yielding a Nash equilibrium. In order to make the coverage suitable for the student as well as for the expert reader, Adaptive Dynamic Programming in Discrete Time: • establishes the fundamental theory involved clearly with each chapter devoted to a clearly identifiable control paradigm; • demonstrates convergence proofs of the ADP algorithms to deepen understanding of the derivation of stability and convergence with the iterative computational methods used; and • shows how ADP methods can be put to use both in simulation and in real applications. This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering. Graduate students working in control and operations research will also find the ideas presented here to be a source of powerful methods for furthering their study.

Download or read book Functional Adaptive Control written by Simon G. Fabri and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique in its systematic approach to stochastic systems, this book presents a wide range of techniques that lead to novel strategies for effecting intelligent control of complex systems that are typically characterised by uncertainty, nonlinear dynamics, component failure, unpredictable disturbances, multi-modality and high dimensional spaces.

Download or read book Canadian Mathematical Bulletin written by and published by . This book was released on 1971 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 4th IFAC IFIP International Conference on Digital Computer Applications to Process Control written by M. Mansour and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital computers have been used more and more to control different industrial processes during the last decade. As of today, many sy stems are designed to include a process control computer as a vital part. The use of computers has created a need for sophisticated me thods for the operation and supervision of complex industrial proces ses. To summarize the state of the art from the practical as well as from the theoretical point of view, the 4th IFACIIFIP International Conference on "Digital Computer Applications to Process Control" will be held at Zurich from March 19 to 22, 1974. The first two vo lumes of the proceedings contain the accepted papers submitted to the conference mentioned above. The papers are arranged according to the topics of the conference. A third volume will include the six follow ing survey papers: 1. Digital Control Algorithms Prof. A. P. Sage, Dallas Texas I USA 2. Interface Problems for Process Control Prof. T. J. Williams, Lafayette Indiana I USA 3. Software for Process Computers Dr. J. Gertler, Budapest I Hungary Dr. J. Sedlak, Prague I CSSR 4. Digital Computer Applications in Metallurgical Processes Mr. W. E. Miller, Salem I USA Mr. W. G. Wright, Schenectady I USA 5. Digital Computer Applications in Power Systems Mr. D. Ernst, Erlangen / FRG 6. Digital Computer Applications in Chemical and Oil Industries Dr. H.