Stochastic Control and Filtering over Constrained Communication Networks (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 178
Release date:	November 2018
First published:	2019
Authors:	Qinyuan Liu • Zidong Wang • Xiao He
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	222
Edition:	1st ed. 2019
ISBN-13:	978-3-03-000156-8
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-03-000156-3
Barcode:	9783030001568

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