Decentralized adaptive control for a class of large scale nonlinear systems using wavelet networks

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.