Stochastic Control and Filtering over Constrained Communication Networks. ([2019])

• Record Type: Book
• Further Information: Note: Qinyuan Liu, Zidong Wang, Xiao He.
• Authors: Liu, Qinyuan; Wang, Zidong, 1966-; He, Xiao
• Contents: Intro; Preface; Acknowledgements; Contents; Abbreviations; List of Figures; 1 Introduction; 1.1 Concepts and Challenges in Networked Control Systems; 1.1.1 Networked Control Systems; 1.1.2 Constrained Communication Networks; 1.2 Analysis and Synthesis of Networked Control Systems; 1.2.1 Signal Quantization; 1.2.2 Communication Delay; 1.2.3 Packet Dropout; 1.2.4 SNR Constraints; 1.3 Event-Based Control and Filtering Problems; 1.3.1 Event-Based Control for Networked Control Systems; 1.3.2 Event-Based Consensus Control for Multi-agent Systems; 1.3.3 Event-Based Remote State Estimation 1.4 Outline of This BookReferences; 2 Feedback Stabilization of Networked Systems over Fading Channels; 2.1 Problem Formulation; 2.2 Preliminary; 2.2.1 Mean-Square Stability; 2.2.2 Wonham Decomposition; 2.2.3 Optimal Complementary Sensitivity; 2.3 Main Results; 2.4 An Illustrative Example; 2.5 Conclusions; References; 3 Event-Based Hinfty Consensus Control of Multi-agent Systems; 3.1 Problem Formulation; 3.1.1 Graph Topologies; 3.1.2 Multi-agent Systems; 3.1.3 Cooperative Estimators Design; 3.1.4 Event-Based Mechanism; 3.2 Main Results; 3.3 An Illustrative Example; 3.4 Conclusions 5.3.1 Comparison with Consensus-Based Distributed Filters5.4 Conclusions; References; 6 Event-Based Distributed Filtering over Markovian Switching Topologies; 6.1 Problem Formulation; 6.1.1 Markovian Switching Topologies; 6.1.2 Wireless Sensor Networks; 6.1.3 Event-Based Distributed Filter; 6.2 Main Results; 6.3 An Illustrative Example; 6.4 Conclusions; References; 7 Event-Based Recursive Distributed Filtering; 7.1 Problem Formulation and Preliminaries; 7.1.1 Traditional Distributed Filter Structure; 7.1.2 Event-Based Distributed Filter Structure; 7.2 Main Results 7.3 An Illustrative Example7.4 Conclusions; References; 8 A Resilient Approach to Distributed Recursive Filter Design; 8.1 Problem Formulation; 8.1.1 Target Plant and Sensor Network; 8.1.2 Distributed Resilient Filter; 8.2 Preliminary; 8.3 Suboptimal Distributed Resilient Filter Design; 8.4 Boundedness Analysis; 8.5 An Illustrative Example; 8.6 Conclusions; References; 9 Consensus-Based Recursive Distributed Filtering; 9.1 Problem Formulation and Preliminaries; 9.1.1 Target Plant and Sensor Network; 9.1.2 Consensus-Based Filtering Algorithm; 9.2 Main Results; 9.3 An Illustrative Example
• Publisher Details: Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource (233 pages)
• Subjects: 621.3822; Engineering; Stochastic control theory; Computer networks; Wireless communication systems; Signal processing; Kalman filtering; TECHNOLOGY & ENGINEERING / Mechanical; Technology & Engineering -- Telecommunications; Computers -- Hardware -- Network Hardware; Communications engineering / telecommunications; Network hardware; Telecommunication; Computer Communication Networks; Technology & Engineering -- Automation; Automatic control engineering; Electronic books
• Languages: English
• ISBNs: 3030001571; 9783030001575
• Related ISBNs: 3030001563; 9783030001568
• Notes: Note: Includes bibliographical references.; Note: References4 Event-Triggered Resilient Filtering with Measurement Quantization; 4.1 Problem Formulation; 4.2 Main Results; 4.3 Performance Analysis; 4.3.1 Monotonicity; 4.3.2 A Steady-State Filter; 4.4 An Illustrative Example; 4.5 Conclusions; References; 5 Event-Based Distributed Filtering of Continuous-Time Nonlinear Systems; 5.1 Problem Formulation and Preliminaries; 5.1.1 Wireless Sensor Networks; 5.1.2 Event-Based Distributed Filtering Strategies; 5.2 Main Results; 5.2.1 Stability Analysis and Filter Design; 5.2.2 Adaptive Thresholds; 5.3 An Illustrative Example; Note: Online resource; title from PDF title page (EBSCO, Nov. 30, 2018).
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