A Single-Scaling Wavelet Frame Network Based Adaptive Observerfor a Class of Nonlinear Systems
Xing Wang · Dianzi xuebao · 2004
This paper proposed a new method of designing a single scaling wavelet frame network based adaptive observer for a class of MIMO nonlinear systems,which can estimate the states of a class of non affine systems with uncertainties or unknown nonlinearities.The wavelet network weights are tuned on line,with no off line learning required.The robustifying term in the observer can reduce the error brought by the wavelet network approximation greatly.The overall adaptive scheme is shown to be uniformly ultimately bounded.Simulation results have verified the performce of the observer proposed.