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Titlebook: Mathematical Methods in Robust Control of Linear Stochastic Systems; Vasile Dragan,Toader Morozan,Adrian-Mihail Stoica Book 2013Latest edi

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書(shū)目名稱Mathematical Methods in Robust Control of Linear Stochastic Systems
編輯Vasile Dragan,Toader Morozan,Adrian-Mihail Stoica
視頻videohttp://file.papertrans.cn/627/626277/626277.mp4
概述Updates the previous edition to include recent results in robust control of linear stochastic systems.Presents the treatment of the fundamental properties of stochastic systems subjected both to multi
圖書(shū)封面Titlebook: Mathematical Methods in Robust Control of Linear Stochastic Systems; Vasile Dragan,Toader Morozan,Adrian-Mihail Stoica Book 2013Latest edi
描述.This second edition of .Mathematical Methods in the Robust Control of Linear Stochastic Systems. includes a large number of recent results in the control of linear stochastic systems. More specifically, the new results presented are:.?- A unified and abstract framework for Riccati type equations arising in the stochastic control.- Stability and control problems for systems perturbed by homogeneous Markov processes with infinite number of states.- Mixed?.H.2. ./ .H.∞.?control problem and numerical procedures.- Linear differential equations with positive evolution on ordered Banach spaces with applications for stochastic systems including both multiplicative white noise and Markovian jumps represented by a Markov chain with countable infinite set of states.- ?Kalman filtering for stochastic systems subject both to state dependent noise and Markovian jumps.-? .H.∞.?reduced order filters for stochastic systems.?The book will appeal to graduate students, researchers in advanced control engineering, finance, mathematical systems theory, applied probability and stochastic processes, and numerical analysis..From Reviews of the First Edition:.?This book is concerned with robust control of
出版日期Book 2013Latest edition
關(guān)鍵詞Continuous-time linear stochastic systems; Markov jumps; Riccati-type systems; Robust control; Stability
版次2
doihttps://doi.org/10.1007/978-1-4614-8663-3
isbn_softcover978-1-4939-3870-4
isbn_ebook978-1-4614-8663-3
copyrightSpringer Science+Business Media New York 2013
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Structural Properties of Linear Stochastic Systems,not always imply stochastic detectability and stochastic controllability does not necessarily imply stochastic stabilizability. As in the deterministic case the concepts of stochastic detectability and observability are used in some criteria of exponential stability in mean square
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https://doi.org/10.1007/978-1-4614-8663-3Continuous-time linear stochastic systems; Markov jumps; Riccati-type systems; Robust control; Stability
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Stochastic , , Optimal Control,white noise perturbations is considered. Several kinds of .. type of performance criteria (often called ..-norms) are introduced and characterized via solutions of some suitable linear equations on the spaces of symmetric matrices.
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