Stochastic control and filtering over constrained communication networks /
General Material Designation
[Book]
First Statement of Responsibility
Qinyuan Liu, Zidong Wang, Xiao He.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2019]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (233 pages)
SERIES
Series Title
Studies in Systems, Decision and Control Ser. ;
Volume Designation
v. 178
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
CONTENTS NOTE
Text of Note
Introduction -- Fundamental Limitations of Networked Systems over Fading Channels -- Event-based H∞ Consensus Control of Multi-agent Systems -- Event-Triggered Resilient Filtering with Measurement Quantization -- Event-based Distributed Filtering of Continuous-time Nonlinear Systems -- Event-based Distributed Filtering over Markovian Switching Topologies -- Event-based Recursive Distributed Filtering -- A Resilient Approach to Distributed Recursive Filter Design -- Consensus-based Recursive Distributed Filtering -- On Kalman-Consensus Filtering with Random Link Failures -- Moving-Horizon Estimation with Binary Encoding Schemes -- Conclusion and Further Work.
0
SUMMARY OR ABSTRACT
Text of Note
Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including: recursive Riccati equations; matrix decomposition; optimal estimation theory; and mathematical optimization methods. Readers will benefit from the book's new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783030001575
OTHER EDITION IN ANOTHER MEDIUM
Title
Stochastic Control and Filtering over Constrained Communication Networks.