Title :
Decentralized adaptive output feedback control via input/output inversion
Author :
Hovakimyan, Naira ; Lavretsky, Eugene ; Calise, Anthony J. ; Sattigeri, Ramachandra
Author_Institution :
Dept. of Autom. & Eng., Virginia Tech, Blacksburg, VA, USA
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 the 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; neural nets; Lyapunov direct method; adaptive control; controllers; decentralized control; error signal boundedness; input inversion; large-scale interconnected systems; linearly parameterized neural network; output feedback control; output inversion; tracking performance; Adaptive control; Communication system control; Control design; Control systems; Large-scale systems; Network synthesis; Neural networks; Output feedback; Programmable control; Uncertainty;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272857
