DocumentCode :
2484625
Title :
Distributed Networked Control System with Lossy Links: State Estimation and Stabilizing Communication Control
Author :
Oh, Songhwai ; Sastry, Shankar
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
1942
Lastpage :
1947
Abstract :
This paper introduces a distributed networked control system (DNCS) consisting of multiple agents communicating over a lossy communication channel, e.g., wireless channel. Two aspects of DNCSs are studied in this paper - state estimation and stabilizing communication control. Based on the Kalman filter, optimal linear filtering algorithms are derived for the discrete-time linear dynamic models of the DNCS with lossy links. Then, the problem of finding a communication control which stabilizes a DNCS is considered. The stabilizing communication control problem seeks the acceptable ranges of packet loss rates at which the overall system is stable. Efficient algorithms based on convex optimization are developed for solving the stabilizing communication control problem
Keywords :
Kalman filters; discrete time systems; distributed control; multi-agent systems; optimal control; optimisation; stability; state estimation; telecommunication channels; telecommunication control; Kalman filter; convex optimization; discrete-time linear dynamic models; distributed networked control system; lossy communication channel; multiple agents; optimal linear filtering; stabilizing communication control; state estimation; Communication channels; Communication system control; Control systems; Filtering algorithms; Maximum likelihood detection; Mobile communication; Networked control systems; Sensor arrays; Stability; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.377338
Filename :
4178074
Link To Document :
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