Linear Optimal Control

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not vey useful for teaching.......2005-03-31

This text is definitly not a good text for class. It skips many steps and makes you wonder where all the results are coming from. Don't recommend for first graduate book on multivariable control. But if you already have a Ph.D, then this can be a good refernce book.

An Optimal Textbook.......2000-04-03

This book is for students and professionals who wish to analyze optimal multi-input, multi-output feedback control systems. Robustness, performance analysis and disturbance rejection characteristics are presented in a logical framework of developing effective design techniques. Dr. Burl expertly combines rigorous theoretical development with practical and useful examples. The computer simulation exercises are especially challenging, promoting deeper understanding.

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Linear State-Space Control Systems
Robert L., II Williams , and Douglas A. Lawrence
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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Introduction to Discrete Event Systems (The International Series on Discrete Event Dynamic Systems)

ASIN: 0471735558

Book Description

The book blends readability and accessibility common to undergraduate control systems texts with the mathematical rigor necessary to form a solid theoretical foundation. Appendices cover linear algebra and provide a Matlab overivew and files. The reviewers pointed out that this is an ambitious project but one that will pay off because of the lack of good up-to-date textbooks in the area.

Applied Linear Optimal Control: Examples and Algorithms

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Excellent book

Applied Linear Optimal Control: Examples and Algorithms
Arthur E. Bryson
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Paperback

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Applied Optimal Control: Optimization, Estimation, and Control
Dynamic Optimization
Optimal Control Theory: An Introduction
Optimal Control and Estimation (Dover Books on Advanced Mathematics)
Dynamic Programming

ASIN: 0521012317

Book Description

While many books cover the theory of optimal design, few help readers to actually apply it. this volume is one of the first to aid readers in utilizing the theory of optimal control to solve practical problems in the face of uncertainty. Bryson covers random inputs and random errors in measurement, uncertainty in inputs from the environment, and uncertainty in the parameters of the dynamic model. He also addresses static and dynamic estimation, random processes, several types of controllers, smoothers, and filters. Pedagogic features include hundreds of problems and worked examples, a CD-ROM supplement containing MATLAB codes of the OPTEST toolbox, and code for the examples, figures, and many of the problems.

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Customer Reviews:

Excellent book.......2007-01-03

If you are looking for a book explaining practical optimal control computation stuffs, this is the book.

Dynamic Stochastic Optimization (Lecture Notes in Economics and Mathematical Systems)

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Dynamic Stochastic Optimization (Lecture Notes in Economics and Mathematical Systems)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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ASIN: 3540405062

Book Description

This volume considers optimal stochastic decision processes from the viewpoint of stochastic programming. It focuses on theoretical properties and on approximate or numerical solution techniques for time-dependent optimization problems with random parameters (multistage stochastic programs, optimal stochastic decision processes). Methods for finding approximate solutions of probabilistic and expected cost based deterministic substitute problems are presented. Besides theoretical and numerical considerations, the proceedings volume contains selected refereed papers on many practical applications to economics and engineering: risk, risk management, portfolio management, finance, insurance-matters and control of robots.

Linear Systems: Optimal and Robust Control

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Linear Systems: Optimal and Robust Control
Alok Sinha
Manufacturer: CRC
ProductGroup: Book
Binding: Hardcover

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Engineering Design: A Project-Based Introduction
Robot Modeling and Control
Fundamentals of Thermal-Fluid Sciences

ASIN: 0849392179

Book Description

Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems. Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix fraction description. Within this framework, the author develops the ideas of state feedback control and observers. He then examines optimal control, stochastic optimal control, and the lack of robustness of linear quadratic Gaussian (LQG) control. The book subsequently presents robust control techniques and derives H8 control theory from the first principle, followed by a discussion of the sliding mode control of a linear system. In addition, it shows how a blend of sliding mode control and H8 methods can enhance the robustness of a linear system. By learning the theories and algorithms as well as exploring the examples in Linear Systems: Optimal and Robust Control, students will be able to better understand and ultimately better manage engineering processes and systems.

Constrained Optimal Control of Linear and Hybrid Systems (Lecture Notes in Control and Information Sciences)

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Constrained Optimal Control of Linear and Hybrid Systems (Lecture Notes in Control and Information Sciences)
Francesco Borrelli
Manufacturer: Springer
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Binding: Paperback

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ASIN: 354000257X

Book Description

Many practical control problems are dominated by characteristics such as state, input and operational constraints, alternations between different operating regimes, and the interaction of continuous-time and discrete event systems. At present no methodology is available to design controllers in a systematic manner for such systems. This book introduces a new design theory for controllers for such constrained and switching dynamical systems and leads to algorithms that systematically solve control synthesis problems. The first part is a self-contained introduction to multiparametric programming, which is the main technique used to study and compute state feedback optimal control laws. The book's main objective is to derive properties of the state feedback solution, as well as to obtain algorithms to compute it efficiently. The focus is on constrained linear systems and constrained linear hybrid systems. The applicability of the theory is demonstrated through two experimental case studies: a mechanical laboratory process and a traction control system developed jointly with the Ford Motor Company in Michigan.

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Discrete-time Stochastic Systems
Torsten Söderström
Manufacturer: Springer
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Binding: Paperback

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Introduction to Stochastic Control Theory

ASIN: 1852336498

Book Description

Discrete-time Stochastic Systems gives a comprehensive introduction to the estimation and control of dynamic stochastic systems and provides complete derivations of key results such as the basic relations for Wiener filtering. The book covers both state-space methods and those based on the polynomial approach. Similarities and differences between these approaches are highlighted. Some non-linear aspects of stochastic systems (such as the bispectrum and extended Kalman filter) are also introduced and analysed. The books chief features are as follows: inclusion of the polynomial approach provides alternative and simpler computational methods than simple reliance on state-space methods; algorithms for analysis and design of stochastic systems allow for ease of implementation and experimentation by the reader; the highlighting of spectral factorization gives appropriate emphasis to this key concept often overlooked in the literature; explicit solutions of Wiener problems are handy schemes, well suited for computations compared with more commonly available but abstract formulations; complex-valued models that are directly applicable to many problems in signal processing and communications. Changes in the second edition include: additional information covering spectral factorisation and the innovations form; the chapter on optimal estimation being completely rewritten to focus on a posterior estimates rather than maximum likelihood; new material on fixed lag smoothing and algorithms for solving Riccati equations are improved and more up to date; new presentation of polynomial control and new derivation of linear-quadratic-Gaussian control. Discrete-time Stochastic Systems is primarily of benefit to students taking M.Sc. courses in stochastic estimation and control, electronic engineering and signal processing but may also be of assistance for self study and as a reference.

Bifurcation of Extremals in Optimal Control (Lecture Notes in Economics and Mathematical Systems)

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Bifurcation of Extremals in Optimal Control (Lecture Notes in Economics and Mathematical Systems)
Jacob Kogan
Manufacturer: Springer
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Binding: Hardcover

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Computational Methods for Optimal Design and Control (Progress in Systems and Control Theory)

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Computational Methods for Optimal Design and Control (Progress in Systems and Control Theory)
J. Borggaard , John Burns , and Scott Schreck
Manufacturer: Birkhauser
ProductGroup: Book
Binding: Hardcover

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ASIN: 0817640649

Constrained Control and Estimation: An Optimisation Approach (Communications and Control Engineering)

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Constrained Control and Estimation: An Optimisation Approach (Communications and Control Engineering)
Graham C. Goodwin , María M Seron , and José A. De Doná
Manufacturer: Springer
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Binding: Hardcover

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ASIN: 1852335483

Book Description

Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles. These advances have significantly broadened the realm of application of constrained control.

- Using the principal tools of prediction and optimisation, examples of how to deal with constraints are given, placing emphasis on model predictive control.

- New results combine a number of methods in a unique way, enabling you to build on your background in estimation theory, linear control, stability theory and state-space methods.

- Companion web site, continually updated by the authors.

Easy to read and at the same time containing a high level of technical detail, this self-contained, new approach to methods for constrained control in design will give you a full understanding of the subject.

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