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Titlebook: Minimum Entropy H_ Control; Dennis Mustafa,Keith Glover Book 1990 Springer-Verlag Berlin Heidelberg 1990 Normal.control.design.distance.fe

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書目名稱Minimum Entropy H_ Control
編輯Dennis Mustafa,Keith Glover
視頻videohttp://file.papertrans.cn/635/634629/634629.mp4
叢書名稱Lecture Notes in Control and Information Sciences
圖書封面Titlebook: Minimum Entropy H_ Control;  Dennis Mustafa,Keith Glover Book 1990 Springer-Verlag Berlin Heidelberg 1990 Normal.control.design.distance.fe
描述This monograph is concerned with the design of feedback controllers for linear multivariable systems, which are robust to system uncertainty. System uncertainty can be realistically represented by including perturbations with bounded H?-norm, and this is the approach taken here. For a given H?-norm bound, there is a family of robustly stabilizing controllers, and the central question in this book is which of these controllers to choose. One choice to take is that which minimizes the enthropy of the resulting closed loop transfer function, and the derivation and properties of this solution occupies most of this monograph. Explicit formulae are obtained for the minimum enthropy solution, which is a precisely defined compromise between the Linear Quadratic Gaussian optimal solution and the H?-optimal solution. The book will be appropriate for graduate classes requiring only a first course in state-space methods, and some elementary knowledge of H? control and Linear Quadratic Gaussian control.
出版日期Book 1990
關鍵詞Normal; control; design; distance; feedback; uncertainty
版次1
doihttps://doi.org/10.1007/BFb0008861
isbn_softcover978-3-540-52947-7
isbn_ebook978-3-540-47182-0Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag Berlin Heidelberg 1990
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Lecture Notes in Control and Information Scienceshttp://image.papertrans.cn/m/image/634629.jpg
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978-3-540-52947-7Springer-Verlag Berlin Heidelberg 1990
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Book 1990ear Quadratic Gaussian optimal solution and the H?-optimal solution. The book will be appropriate for graduate classes requiring only a first course in state-space methods, and some elementary knowledge of H? control and Linear Quadratic Gaussian control.
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