Applied Linear Optimal Control: Examples and Algorithms
Editorial Reviews
Review
'The author stated the goal at the beginning of the book as 'to aid readers in utilizing the theory of optimal control to solve practical problems in the face of uncertainty.' It appears this goal has been achieved. Applied Linear Optimal Control: Examples and Algorithms should be a good addition to the optimal control community. It makes an excellent text for engineering and applied mathematics students who already have some optimal control background. It is strongly recommended as a helpful guide for anyone who desires to learn and apply many of the current state of the art results in optimal control.' Applied Mechanics Reviews
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.
Applied Linear Optimal Control: Examples and Algorithms
Applied Linear Optimal Control: Examples and Algorithms,Arthur E. Bryson,Cambridge University Press,0521012317,Automation,Engineering - General,General,Linear control systems,Science/Mathematics,Technology,Technology & Industrial Arts,Automatic control engineering,Mechanical engineering,Science / General
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