Paperback. This volume features research results on robustness, H2 control and H00 synthesis. It combines these results with previous work on optimal control to form a complete picture of control system design and analysis. This work covers the analysis of control systems, H2 (linear quadratic Gaussian), and H00 to a degree not found in many texts, its logical organization and its focus on establishing a solid grounding in the basics before tackling mathematical subtleties makes it an ideal teaching text; it provides computer projects in each chapter to challenge readers with "what if" questions concerning the choice of cost functions and specifications; it simplifies results and derivations by treating special cases whenever possible without compromising the clarity of the results and methods; and it familiarizes readers with the use of CAD tools for robust optimal controller design. Software use is integrated throughout the book, and is included in almost every example. This book features recent research results on robustness, H control, and synthesis. It combines these new results with previous work on optimal control to form a picture of control system design and analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

N� de r�f. du vendeur 9780201808681

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D�tails bibliographiques

Titre: Linear Optimal Control (Paperback)
�diteur: Pearson Education (US), New Jersey
Date de parution: 1999
Langue: anglais
ISBN � 10 chiffres: 0201808684
ISBN � 13 chiffres: 9780201808681
Reliure: Paperback
�tat de l'article: new

A propos de ce titre

Synopsis

This volume features research results on robustness, H2 control and H00 synthesis. It combines these results with previous work on optimal control to form a complete picture of control system design and analysis.

� propos de l?auteur

Jeffrey B. Burl is a Professor of Electrical Engineering at Michigan Technological University, where he is conducting research in several areas including image-based control systems for aerospace vehicles, automotive control, and robust multivariable control theory and applications. He has worked on the control of the international space station, missile autopilot design, and numerous other control projects. He is currently working on collision avoidance for general aviation. Dr. Burl has published papers in the IEEE Transactions on Signal Processing, the AIAA Journal of Guidance, Control, and Dynamics, and other journals. He is currently an Associate Editor for the International Journal of Modeling and Simulation, and a Senior Member of the IEEE and the AIAA.

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