Intelligent Adaptive Tracking Controller Design for Stochastic Switched Pure-Feedback Nonlinear Systems With Input Saturation and Non-Lower Triangular Structure

摘要: This paper concentrates on the design of intelligent adaptive tracking controller for stochastic switched nonlinear pure-feedback systems with input saturation and non-lower triangular structure. It needs to be emphasized that both issues structure non-differential nonlinearity are involved in studied system. With help mean-value theorem, a novel is developed this work overcome difficulty resulted from structure, inherent property Gaussian functions utilized handle unknown include all state variables. Moreover, through universal approximation technology, control strategy constructed under framework backstepping, which guarantees error can converge small neighborhood near origin sense mean quartic value signals closed-loop system bounded probability. Eventually, effectiveness presented scheme further illustrated by simulation two practical examples.