A Discrete Terminal Neuro-Sliding Mode Control with Adaptive Switching Gain for an Uncertain Nonlinear System

The main challenge of sliding mode control is how to reduce chattering phenomenon. In this work, a discrete terminal neuro-sliding mode control with adaptive switching gain for a nonlinear system is presented. This new strategy blends the benefits of terminal sliding mode control and neuronal network. It guarantees a finite-time convergence of the sliding variable and the error dynamics so as to harmoniously alleviates the system steady-state error. The simulation results tested on an inverted pendulum and a continuous stirred tank reactor with high parameter variations and disturbances are presented in relation to the greater performance and effectiveness of the proposed technique.