DocumentCode
2469201
Title
Distributed robust adaptive tracking control with lossy interconnection links and bounded disturbances
Author
Jin, Xiao-Zheng ; Yang, Guang-hong
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shengyang, China
fYear
2009
fDate
10-12 June 2009
Firstpage
5689
Lastpage
5694
Abstract
In this paper, direct adaptive-state feedback control schemes are developed to solve the problem of asymptotic tracking and disturbance rejection for a class of distributed large-scale systems with faulty and perturbed interconnection links. Adaptation laws are proposed to update controller parameters on-line when all interconnected fault factors, the upper bounds of perturbations in interconnection links and external disturbances on subsystems are unknown. Then a class of distributed state feedback controllers is constructed to automatically compensate the fault and perturbation effects, and reject the disturbances simultaneously based on the information from adaptive schemes. The proposed adaptive robust tracking controllers can guarantee that the resulting adaptive closed-loop distributed system stable and each subsystem can asymptotically-output track the corresponding reference signal. The proposed design technique is finally evaluated in the light of a simulation example.
Keywords
adaptive control; closed loop systems; distributed control; interconnected systems; robust control; state feedback; adaptive closed-loop distributed system; adaptive-state feedback control schemes; asymptotic tracking; bounded disturbances; distributed state feedback controllers; distributed tracking control; disturbance rejection; lossy interconnection links; robust adaptive tracking control; Adaptive control; Automatic control; Control systems; Distributed control; Feedback control; Large-scale systems; Programmable control; Robust control; State feedback; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5160312
Filename
5160312
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