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Titlebook: Reduced Order Systems; Ali A. Jalali,Craig S. Sims†,Parviz Famouri Book 2006 Springer-Verlag Berlin Heidelberg 2006 Reduced Order Filterin

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Book 2006ed order estimation, reduced order control, and the design of reduced order compensators for stochastic systems. Special emphasis is placed on optimization using a quadratic performance criterion. Both continuous and discrete time linear dynamical systems are considered, and state space system repre
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10 Robust Reduced Order Filtering,vation of the results contained here was developed. We will present here, a derivation based on game theory which more closely corresponds to the calculus of variations approach taken throughout this text, and follows the method suggested by Banavar and Speyer [2].
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Book 2006sentation is used throughout the book. It provides a coherent view of the recent theory of reduced order theory and its applications including a wide range of application problems, solutions and unresolved issues..
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0170-8643 der theory and its applications.This monograph presents a detailed and unified treatment of the theory of reduced order systems. Covered topics include reduced order modeling, reduced order estimation, reduced order control, and the design of reduced order compensators for stochastic systems. Specia
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