東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Distributed filtering, control and s...

Han, Fei.

Linked to FindBook

Google Book

Amazon

博客來

Distributed filtering, control and synchronization = local performance analysis methods /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed filtering, control and synchronization/ by Fei Han, Zidong Wang, Hongli Dong.
Reminder of title:	local performance analysis methods /
Author:	Han, Fei.
other author:	Wang, Zidong.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvi, 223 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Distributed H-infinity Filtering for Discrete-Time Piecewise Linear Systems -- Consensus Filtering with Stochastic Nonlinearities and Multiple Missing Measurements -- Distributed Filtering for Random Parameter System with Event-Triggering Protocols -- Scalable Consensus Filtering for Uncertain Systems with Round-Robin Protocol -- Partial-Nodes-Based Scalable H-infinity-Consensus Filtering with Censored Measurements -- Distributed H-infinity-Consensus Filtering over Sensor Networks under Deception Attacks -- Distributed Resilient Filtering for Time-Delayed Systems with Stochastic Perturbations -- Finite-Horizon H-infinity-Consensus Control for Multi-Agent Systems with Random Parameters -- Bounded H-infinity Synchronization and H-infinity Filtering for Discrete-Time Complex Networks.
Contained By:	Springer Nature eBook
Subject:	Control theory. -
Online resource:	https://doi.org/10.1007/978-3-030-97075-8
ISBN:	9783030970758

Distributed filtering, control and synchronization = local performance analysis methods /
Han, Fei.

Distributed filtering, control and synchronizationlocal performance analysis methods /[electronic resource] :by Fei Han, Zidong Wang, Hongli Dong. - Cham :Springer International Publishing :2022. - xvi, 223 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 4282198-4190 ;. - Studies in systems, decision and control ;v. 428..

Introduction -- Distributed H-infinity Filtering for Discrete-Time Piecewise Linear Systems -- Consensus Filtering with Stochastic Nonlinearities and Multiple Missing Measurements -- Distributed Filtering for Random Parameter System with Event-Triggering Protocols -- Scalable Consensus Filtering for Uncertain Systems with Round-Robin Protocol -- Partial-Nodes-Based Scalable H-infinity-Consensus Filtering with Censored Measurements -- Distributed H-infinity-Consensus Filtering over Sensor Networks under Deception Attacks -- Distributed Resilient Filtering for Time-Delayed Systems with Stochastic Perturbations -- Finite-Horizon H-infinity-Consensus Control for Multi-Agent Systems with Random Parameters -- Bounded H-infinity Synchronization and H-infinity Filtering for Discrete-Time Complex Networks.

This book establishes a unified framework for dealing with typical engineering complications arising in modern, complex, large-scale networks such as parameter uncertainties, missing measurement and cyber-attack. Distributed Filtering, Control and Synchronization is a timely reflection on methods designed to handle a series of control and signal-processing issues in modern industrial engineering practice in areas like power grids and environmental monitoring. It exploits the latest techniques to handle the emerging mathematical and computational challenges arising from, among other things, the dynamic topologies of distributed systems and in the context of sensor networks and multi-agent systems. These techniques include recursive linear matrix inequalities, local-performance and stochastic analyses and techniques based on matrix theory. Readers interested in the theory and application of control and signal processing will find much to interest them in the new models and methods presented in this book. Academic researchers can find ideas for developing their own research, graduate and advanced undergraduate students will be made aware of the state of the art, and practicing engineers will find methods for addressing practical difficulties besetting modern networked systems.

ISBN: 9783030970758

Standard No.: 10.1007/978-3-030-97075-8doiSubjects--Topical Terms:

535880
Control theory.

LC Class. No.: QA402.3 / .H36 2022

Dewey Class. No.: 629.8312

Distributed filtering, control and synchronization = local performance analysis methods /
LDR:03261nmm a2200349 a 4500 001 2299014
003 DE-He213
005 20220324181129.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030970758 $q (electronic bk.)
020 $a 9783030970741 $q (paper)
024 7 $a 10.1007/978-3-030-97075-8 $2 doi
035 $a 978-3-030-97075-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.3 $b .H36 2022
072 7 $a TJFM $2 bicssc
072 7 $a GPFC $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8312 $2 23
090 $a QA402.3 $b .H233 2022
100 1 $a Han, Fei. $3 2105430
245 1 0 $a Distributed filtering, control and synchronization $h [electronic resource] : $b local performance analysis methods / $c by Fei Han, Zidong Wang, Hongli Dong.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xvi, 223 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 428
505 0 $a Introduction -- Distributed H-infinity Filtering for Discrete-Time Piecewise Linear Systems -- Consensus Filtering with Stochastic Nonlinearities and Multiple Missing Measurements -- Distributed Filtering for Random Parameter System with Event-Triggering Protocols -- Scalable Consensus Filtering for Uncertain Systems with Round-Robin Protocol -- Partial-Nodes-Based Scalable H-infinity-Consensus Filtering with Censored Measurements -- Distributed H-infinity-Consensus Filtering over Sensor Networks under Deception Attacks -- Distributed Resilient Filtering for Time-Delayed Systems with Stochastic Perturbations -- Finite-Horizon H-infinity-Consensus Control for Multi-Agent Systems with Random Parameters -- Bounded H-infinity Synchronization and H-infinity Filtering for Discrete-Time Complex Networks.
520 $a This book establishes a unified framework for dealing with typical engineering complications arising in modern, complex, large-scale networks such as parameter uncertainties, missing measurement and cyber-attack. Distributed Filtering, Control and Synchronization is a timely reflection on methods designed to handle a series of control and signal-processing issues in modern industrial engineering practice in areas like power grids and environmental monitoring. It exploits the latest techniques to handle the emerging mathematical and computational challenges arising from, among other things, the dynamic topologies of distributed systems and in the context of sensor networks and multi-agent systems. These techniques include recursive linear matrix inequalities, local-performance and stochastic analyses and techniques based on matrix theory. Readers interested in the theory and application of control and signal processing will find much to interest them in the new models and methods presented in this book. Academic researchers can find ideas for developing their own research, graduate and advanced undergraduate students will be made aware of the state of the art, and practicing engineers will find methods for addressing practical difficulties besetting modern networked systems.
650 0 $a Control theory. $3 535880
650 0 $a Signal processing. $3 533904
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Signal, Speech and Image Processing. $3 3592727
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Stochastic Systems and Control. $3 3596108
700 1 $a Wang, Zidong. $3 2132562
700 1 $a Dong, Hongli. $3 3596117
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v. 428. $3 3596118
856 4 0 $u https://doi.org/10.1007/978-3-030-97075-8
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)