DocumentCode
506766
Title
Fault-tolerant control methodology based free-weighting matrices of multi-variable NCSs
Author
Wei, Li-sheng ; Jiang, Ming ; Gao, Wen-gen ; Fei, Min-rui
Author_Institution
Anhui Univ. of Technol. & Sci., Wuhu, China
Volume
2
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
869
Lastpage
874
Abstract
The issue of fault-tolerant control for uncertain continuous-time multi-variable networked control systems with actuators failure is researched, where its network transmission is connected with network-induced delay and packet dropout. The complete mathematical model is derived. And the sufficient condition for asymptotical stability is analyzed and the maximum allowable delay conditions for systems are derived by using Lyapunov stability theory combined with free-weighting matrices techniques. The efficacy and feasibility of the proposed methods is shown by presenting simulation results from multi-variable networked control example with uncertainty.
Keywords
asymptotic stability; continuous time systems; control engineering computing; control system analysis; fault tolerance; matrix algebra; multivariable control systems; uncertain systems; Lyapunov stability theory; actuators failure; asymptotical stability; fault tolerant control; free weighting matrices; mathematical model; maximum allowable delay condition; multivariable NCS; network transmission; network-induced delay; packet dropout; sufficient condition; uncertain continuous-time multivariable networked control systems; Actuators; Asymptotic stability; Control systems; Delay systems; Fault tolerance; Fault tolerant systems; Mathematical model; Networked control systems; Stability analysis; Sufficient conditions; LMI; Networked control systems(NCSs); fault tolerant; free-weighting matrices; stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358276
Filename
5358276
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