
Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints
CRC Press
1st Edition
Published on 6. September 2021
Book
Hardback
222 pages
978-1-032-03817-9 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic
Illustrations
4 s/w Tabellen, 61 s/w Abbildungen, 61 s/w Zeichnungen
4 Tables, black and white; 61 Line drawings, black and white; 61 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 18 mm
Weight
537 gr
ISBN-13
978-1-032-03817-9 (9781032038179)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Jinling Liang | Zidong Wang | Fan Wang
Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints
Book
10/2024
1st Edition
CRC Press
€71.40
Shipment within 10-20 days

Jinling Liang | Zidong Wang | Fan Wang
Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints
E-Book
09/2021
1st Edition
CRC Press
€64.49
Available for download

Jinling Liang | Zidong Wang | Fan Wang
Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints
E-Book
09/2021
1st Edition
CRC Press
€64.49
Available for download
Persons
Jinling Liang, Zidong Wang, Fan Wang
Author
School of Mathematics, Southeast University.
Brunel Uni, UK
Southeast University, Nanjing, China.
Content
1. Introduction. 2. Minimum-Variance Recursive Filtering for Two-Dimensional Systems with Degraded Measurements: Boundedness and Monotonicity. 3. Robust Kalman Filtering for Two-Dimensional Systems with Multiplicative Noises and Measurement Degradations. 4. Robust Finite-Horizon Filtering for Two-Dimensional Systems with Randomly Varying Sensor Delays. 5. Recursive Filtering for Two-Dimensional Systems with Missing Measurements subject to Uncertain Probabilities. 6. Resilient State Estimation for Two-Dimensional Shift-Varying Systems with Redundant Channels. 7. Recursive Distributed Filtering for Two-Dimensional Shift-Varying Systems Over Sensor Networks Under Random Access Protocols. 8. Resilient Filtering for Linear Shift-Varying Repetitive Processes under Uniform Quantization and Round-Robin Protocols. 9. Event-Triggered Recursive Filtering for Shift-Varying Linear Repetitive Processes. 10. Conclusions and Future Topics.