Title :
Decentralized adaptive control for a class of large scale nonlinear systems using wavelet networks
Author :
Erfanmanesh, Rabee ; Karimi, Bahram ; Pourghassem, Hossein
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ., Najafabad, Iran
Abstract :
This paper presents a decentralized adaptive control for a class of large scale nonlinear systems using wavelet networks. Due to the functional approximation capabilities of wavelet networks, the dynamics for each subsystem are not required to be linear in a set of unknown coefficients as is typically required in decentralized adaptive schemes. In addition each subsystem is able to adaptively compensate for interconnections. A direct adaptive controller is devised based on Lyapunov stability analysis so that the stability of the closed loop system is guaranteed by introducing a suitably driven adaptive rule.
Keywords :
Lyapunov methods; adaptive control; closed loop systems; decentralised control; function approximation; interconnected systems; nonlinear control systems; stability; wavelet transforms; Lyapunov stability analysis; closed loop system; decentralized control; direct adaptive controller; functional approximation; interconnections; large scale systems; nonlinear control systems; wavelet networks; Bismuth; Equations; Silicon; Adaptive control and Decentralized nonlinear system; Wavelet neural network;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014763