Robust control linear systems (61 Ergebnisse)

Zustand: Good. Volume 50. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780387305233. …

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. xii + 312.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Fine. Second edition. Hardback. Octavo. xv, 442pp. Sealed hardback. Fine and unread.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. In English.

Zustand: New. In English.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Zustand: Brand New. reprint edition. 219 pages. 9.25x6.10x0.50 inches. In Stock.

Hardcover. Zustand: Brand New. 2014 edition. 220 pages. 9.25x6.25x0.50 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the 'real world' system that is being modeled, and thus it is imperative to incorporate and accommodate a level of uncertainty into the models. This book directly addresses these issues from a deterministic uncertainty viewpoint and focuses on the interval parameter characterization of uncertain systems. Various tools of analysis and design are presented in a consolidated manner. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach.This book also:Presents and formulates the robustness problem in a linear state space model framework.Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering.Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches.Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control in aerospace, mechanical, or electrical engineering.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the 'real world' system that is being modeled, and thus it is imperative to incorporate and accommodate a level of uncertainty into the models. This book directly addresses these issues from a deterministic uncertainty viewpoint and focuses on the interval parameter characterization of uncertain systems. Various tools of analysis and design are presented in a consolidated manner. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach.This book also:Presents and formulates the robustness problem in a linear state space model framework.Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering.Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches.Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control in aerospace, mechanical, or electrical engineering.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 H2 / 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 stochastic systems. One of the main features is its coverage of jump Markovian systems. . Overall, this book presents results taking into consideration both white noise and Markov chain perturbations. It is clearly written and should be useful for people working in applied mathematics and in control and systems theory. The references cited provide further reading sources. (George Yin, Mathematical Reviews, Issue 2007 m)This book considers linear time varying stochastic systems, subjected to white noise disturbances and system parameter Markovian jumping, in the context of optimal control . robust stabilization, and disturbanceattenuation. . The material presented in the book is organized in seven chapters. . The book is very well written and organized. . is a valuable reference for all researchers and graduate students in applied mathematics and control engineering interested in linear stochastic time varying control systems with Markovian parameter jumping and white noise disturbances.(Zoran Gajic, SIAM Review, Vol. 49 (3), 2007).…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 H2 / 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 stochastic systems. One of the main features is its coverage of jump Markovian systems. . Overall, this book presents results taking into consideration both white noise and Markov chain perturbations. It is clearly written and should be useful for people working in applied mathematics and in control and systems theory. The references cited provide further reading sources. (George Yin, Mathematical Reviews, Issue 2007 m)This book considers linear time varying stochastic systems, subjected to white noise disturbances and system parameter Markovian jumping, in the context of optimal control . robust stabilization, and disturbanceattenuation. . The material presented in the book is organized in seven chapters. . The book is very well written and organized. . is a valuable reference for all researchers and graduate students in applied mathematics and control engineering interested in linear stochastic time varying control systems with Markovian parameter jumping and white noise disturbances.(Zoran Gajic, SIAM Review, Vol. 49 (3), 2007).…

Paperback. Zustand: Brand New. 2nd reprint edition. 457 pages. 9.25x6.10x1.04 inches. In Stock.

Taschenbuch. Zustand: Neu. Mathematical Methods in Robust Control of Linear Stochastic Systems | Vasile Dragan (u. a.) | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9781493938704 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Robust Control of Uncertain Dynamic Systems | A Linear State Space Approach | Rama K. Yedavalli | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9781493940899 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Structured uncertainty modelling for robust control | Iterative design for linear systems | Gábor Rödönyi | Taschenbuch | 180 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847306467 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Zustand: New. In English.

Gebunden. Zustand: New.

Zustand: New. In English.

Kartoniert / Broschiert. Zustand: New. Worldwide only book presenting an extensive and deep treatment of the principal methodologies of linear systems subject to time-varying parametric uncertaintiesLinear Time-Varying Systems.- Quadratic Stability.- Systems Depending on Bounded Rate .

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems' discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique. Though primarily intended for graduate students in control and filtering, the book can also serve as a valuable reference work for researchers wishing to explore the area of robust H-infinity control and filtering of uncertain systems.Dr. Xiao-Heng Chang is a Professor at the College of Engineering, Bohai University, China.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Linear Time-Varying Systems.- Quadratic Stability.- Systems Depending on Bounded Rate Uncertainties.- Controller Design.- Discrete-Time Systems.

Zustand: New. In English.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 346 | Sprache: Englisch | Produktart: Bücher | In this monograph the authors develop a theory for the robust control of discrete-time stochastic systems, subjected to both independent random perturbations and to Markov chains. Such systems are widely used to provide mathematical models for real processes in fields such as aerospace engineering, communications, manufacturing, finance and economy. The theory is a continuation of the authors' work presented in their previous book entitled "Mathematical Methods in Robust Control of Linear Stochastic Systems" published by Springer in 2006.Key features:- Provides a common unifying framework for discrete-time stochastic systems corrupted with both independent random perturbations and with Markovian jumps which are usually treated separately in the control literature- Covers preliminary material on probability theory, independent random variables, conditional expectation and Markov chains- Proposes new numerical algorithms to solve coupled matrix algebraic Riccati equations- Leads the reader in a natural way to the original results through a systematic presentation- Presents new theoretical results with detailed numerical examples The monograph is geared to researchers and graduate students in advanced control engineering, applied mathematics, mathematical systems theory and finance. It is also accessible to undergraduate students with a fundamental knowledge in the theory of stochastic systems.…