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Titlebook: Control Theory for Linear Systems; Harry L. Trentelman,Anton A. Stoorvogel,Malo Hautu Book 2001 Springer-Verlag London 2001 Geometric Cont

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書目名稱Control Theory for Linear Systems
編輯Harry L. Trentelman,Anton A. Stoorvogel,Malo Hautu
視頻videohttp://file.papertrans.cn/238/237295/237295.mp4
概述The connection of geometric control theory to H2 and H-infinity optimal control theory provides an additional insight for the reader.The authors have all contributed at different times to the developm
叢書名稱Communications and Control Engineering
圖書封面Titlebook: Control Theory for Linear Systems;  Harry L. Trentelman,Anton A. Stoorvogel,Malo Hautu Book 2001 Springer-Verlag London 2001 Geometric Cont
描述.Control Theory for Linear Systems. deals with the mathematical theory of feedback control of linear systems. It treats a wide range of control synthesis problems for linear state space systems with inputs and outputs. The book provides a treatment of these problems using state space methods, often with a geometric flavour. Its subject matter ranges from controllability and observability, stabilization, disturbance decoupling, and tracking and regulation, to linear quadratic regulation, H2 and H-infinity control, and robust stabilization. Each chapter of the book contains a series of exercises, intended to increase the reader‘s understanding of the material. Often, these exercises generalize and extend the material treated in the regular text.
出版日期Book 2001
關(guān)鍵詞Geometric Control; H-control theory; Linear Quadratic Regulator Problem; Optimal control; Tracking; contr
版次1
doihttps://doi.org/10.1007/978-1-4471-0339-4
isbn_softcover978-1-4471-1073-6
isbn_ebook978-1-4471-0339-4Series ISSN 0178-5354 Series E-ISSN 2197-7119
issn_series 0178-5354
copyrightSpringer-Verlag London 2001
The information of publication is updating

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,-pairs and dynamic feedback,istic to assume that only . of the state vector is available for feedback. This can be modelled by specifying a linear function of the state vector, called the measurement output. Instead of the entire state vector, we then only allow the use of this measurement output for feedback. Instead of static feedback, however, we then allow . feedback.
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System invertibility and the strongly reachable subspace,te in case the input is a distribution. We will do this using the distributional set-up discussed in the Appendix on distributions. We will derive the exact formulas for the state trajectory and output corresponding to a given initial state and impulsive-smooth distributional input.
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https://doi.org/10.1007/978-3-658-05929-3In chapter 12, we formulated a number of problems related to robust stabilization with additive, multiplicative or coprime factor model uncertainty. In this chapter, we would like to revisit these problems and see how the theory of the previous two chapter can give us additional insight.
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