Recurrent Wavelet Network Based Control for a Class of Delayed Uncertain Nonlinear Systems Subjected to Hysteresis Nonlinearity

摘要

The research presents recurrent wavelet based adaptive control (RWNC) scheme for uncertain nonlinearity based delayed systems with hysteresis. For the estimation of uncertainties present in the system and hysteresis nonlinearity effect used Self recurrent wavelet neural network (SRWNN). Deployment of hysteresis phenomenon in proposed work used Prandtl-Ishlinskii (PI) model. Proposed Controller consists of wavelet based feedback system and a robust control mechanism. The simulation study carried out for stability analysis of the proposed controller using Lyapunov-Krasovskii function and verifies the effectiveness of theoretical development.