Observer Based Adaptive Event Triggered Control Scheme For A Class Nonlinear Systems With Uncertain Dynamics

Abstract

This work presents an adaptive event triggered control scheme for a class of uncertain nonlinear system with unmeasurable states. Controlling strategy presented in this work mainly includes the designing of a nonlinear state estimator to estimate the system states followed by the designing of an event triggered control mechanism for a networked control system. The proposed scheme ensures the uniform ultimate boundedness (UUB) of system variables along with prescribed performance of the closed loop system and at the same time ensuring the optimum sharing of the network resources. An output recurrent wavelet neural network (ORWNN) is used to approximate the nonlinear uncertainties of the system. Numerical simulation is carried out to illustrate theoretical developments.