Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints by Jinling Liang, Zidong Wang, Fan Wang
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Overview: This book presents up-to-date research developments and novel methodologies regarding recursive filtering for 2-D shift-varying systems with various communication constraints. It investigates recursive filter/estimator design and performance analysis by a combination of intensive stochastic analysis, recursive Riccati-like equations, variance-constrained approach, and mathematical induction. Each chapter considers dynamics of the system, subtle design of filter gains, and effects of the communication constraints on filtering performance. Effectiveness of the derived theories and applicability of the developed filtering strategies are illustrated via simulation examples and practical insight.
This book aims at graduate students and researchers in mechanical engineering, industrial engineering, communications networks, applied mathematics, robotics and control systems.
Genre: Non-Fiction > Educational
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Recursive_Filtering_for_2-D_Shift-Varying_Systems_with_Communication_Constraints.pdf
Recursive_Filtering_for_2-D_Shift-Varying_Systems_with_Communication_Constraints.pdf
