DocumentCode :
1221784
Title :
Coordinated decentralized adaptive output feedback control of interconnected systems
Author :
Hovakimyan, Naira ; Lavretsky, Eugene ; Yang, Bong-Jun ; Calise, Anthony J.
Author_Institution :
Virginia Polytech. Inst., State Univ., Blacksburg, VA, USA
Volume :
16
Issue :
1
fYear :
2005
Firstpage :
185
Lastpage :
194
Abstract :
A decentralized adaptive output feedback control design is proposed for large-scale interconnected systems. It is assumed that all the controllers share prior information about the system reference models. Based on that information, a linearly parameterized neural network is introduced for each subsystem to partially cancel the effect of the interconnections on tracking performance. Boundedness of error signals is shown through Lyapunov´s direct method.
Keywords :
Lyapunov methods; adaptive control; control system synthesis; decentralised control; feedback; interconnected systems; neurocontrollers; Lyapunov direct method; coordinated decentralized adaptive control; large scale interconnected system; linearly parameterized neural network; output feedback control; Adaptive control; Communication system control; Control design; Control systems; Distributed control; Interconnected systems; Large-scale systems; Neural networks; Output feedback; Programmable control; Adaptive output feedback; coordinated decentralized control; interconnected systems; Algorithms; Artificial Intelligence; Computer Simulation; Computing Methodologies; Feedback; Information Storage and Retrieval; Models, Statistical; Models, Theoretical; Numerical Analysis, Computer-Assisted; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2004.836198
Filename :
1388467
Link To Document :
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