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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This book is one of the first to aid readers in utilizing the theory of optimal control to solve practical problems in the face of uncertainty. Topics include random inputs and random errors in measurement, uncertainty in inputs, uncertainty in the parameters of the dynamic model, static and dynamic estimation, random processes, and several types of controllers. Hundreds of problems and worked examples enhance the pedagogy, and a CD-ROM supplement contains MATLAB codes of the OPTEST toolbox, as well as code for the examples, figures, and many of the problems within the text.
Applied Linear Optimal Control successfully fills the gap between the theory of optimal control design and practical applications in the face of uncertainties. The student should find this book to be an invaluable supplemental tool combined with a solid theoretical framework in the classroom. The practicing engineer should find this book to be an invaluable reference tool in understanding the issues involved with practical control design. Both the student and the practicing engineer will especially appreciate the several examples backed up with MATLAB codes, which serve to provide more interesting problems than the book's predecessor. This book should be a valuable addition to an individual's collection or to an institution's library." American Institute of Aeronautics and Astronautics Journal
"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
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