Optimal Control of Energy Resources for State Estimation Over Wireless Channels (Record no. 80756)

000 -LEADER
fixed length control field 04069nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-65614-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222427.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170816s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319656144
-- 978-3-319-65614-4
082 04 - CLASSIFICATION NUMBER
Call Number 629.8312
082 04 - CLASSIFICATION NUMBER
Call Number 003
100 1# - AUTHOR NAME
Author Leong, Alex S.
245 10 - TITLE STATEMENT
Title Optimal Control of Energy Resources for State Estimation Over Wireless Channels
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages VII, 125 p. 38 illus. in color.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Control, Automation and Robotics,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction. - Optimal Power Allocation for Kalman Filtering over Fading Channels -- Optimal Transmission Scheduling for Event-Triggered Estimation -- Optimal Transmission Strategies for Remote State Estimation -- Remote State Estimation in Multi-Hop Networks -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc This brief introduces wireless communications ideas and techniques into the study of networked control systems. It focuses on state estimation problems in which sensor measurements (or related quantities) are transmitted over wireless links to a central observer. Wireless communications techniques are used for energy resource management in order to improve the performance of the estimator when transmission occurs over packet dropping links, taking energy use into account explicitly in Kalman filtering and control. The brief allows a reduction in the conservatism of control designs by taking advantage of the assumed. The brief shows how energy-harvesting-based rechargeable batteries or storage devices can offer significant advantages in the deployment of large-scale wireless sensor and actuator networks by avoiding the cost-prohibitive task of battery replacement and allowing self-sustaining sensor to be operation. In contrast with research on energy harvesting largely focused on resource allocation for wireless communication systems design, this brief optimizes estimation objectives such as minimizing the expected estimation error covariance. The resulting power control problems are often stochastic control problems which take into account both system and channel dynamics. The authors show how to pose and solve such design problems using dynamic programming techniques. Researchers and graduate students studying networked control systems will find this brief a helpful source of new ideas and research approaches.
700 1# - AUTHOR 2
Author 2 Quevedo, Daniel E.
700 1# - AUTHOR 2
Author 2 Dey, Subhrakanti.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-65614-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Application software.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Telecommunication.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control and Systems Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2192-6794
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

No items available.