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Stochastic Distribution Control System Design: A Convex Optimization Approach - Advances in Industrial Control (Hardback)
  • Stochastic Distribution Control System Design: A Convex Optimization Approach - Advances in Industrial Control (Hardback)
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Stochastic Distribution Control System Design: A Convex Optimization Approach - Advances in Industrial Control (Hardback)

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£109.99
Hardback 196 Pages / Published: 25/05/2010
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A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. This book describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. It starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control and FDD problems.

Publisher: Springer London Ltd
ISBN: 9781849960298
Number of pages: 196
Weight: 1060 g
Dimensions: 235 x 155 x 14 mm
Edition: 2010 ed.


MEDIA REVIEWS

From the reviews:

"The book deals with numerous methods of the design of stochastic distribution control systems. ... It includes the recent results and presents the dynamic development of research in this field. Since the stochastic distribution control is an interesting approach as well from theoretical point of view as in many applications the publishing of this book seems to be very valuable. ... The book provides complementary material for graduate courses." (Leslaw Socha, Zentralblatt MATH, Vol. 1226, 2012)

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