Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints

Liang, Jinling; Wang, Zidong; Wang, Fan

ISBN 10: 1032038225 ISBN 13: 9781032038223
Published by CRC Press, 2024
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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.

Features:-

  • Covers recent advances of recursive filtering for 2-D shift-varying systems subjected to communication constraints from the engineering perspective.
  • Includes the recursive filter design, resilience operation and performance analysis for the considered 2-D shift-varying systems.
  • Captures the essence of the design for 2-D recursive filters.
  • Develops a series of latest results about the robust Kalman filtering and protocol-based filtering.
  • Analyzes recursive filter design and filtering performance for the considered systems.

This book aims at graduate students and researchers in mechanical engineering, industrial engineering, communications networks, applied mathematics, robotics and control systems.

About the Author: Jinling Liang, Zidong Wang, Fan Wang

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Title: Recursive Filtering for 2-D Shift-Varying ...
Publisher: CRC Press
Publication Date: 2024
Binding: Soft cover
Condition: New

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Paperback. Condition: new. Paperback. 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.Features:- Covers recent advances of recursive filtering for 2-D shift-varying systems subjected to communication constraints from the engineering perspective. Includes the recursive filter design, resilience operation and performance analysis for the considered 2-D shift-varying systems. Captures the essence of the design for 2-D recursive filters. Develops a series of latest results about the robust Kalman filtering and protocol-based filtering. Analyzes recursive filter design and filtering performance for the considered systems.This book aims at graduate students and researchers in mechanical engineering, industrial engineering, communications networks, applied mathematics, robotics and control systems. It presents research developments and novel methodologies for recursive filtering for 2-D shift-varying systems with communication constraints. It investigates recursive filter/estimator design and performance analysis explaining dynamics of the system, subtle design of filter gains, effects of the communication constraints on performance. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032038223

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