Adaptive Fuzzy Control for Stochastic High-Order Nonlinear Systems With Output Constraints

This article investigates the adaptive fuzzy control design for p-norm stochastic high-order lower triangular nonlinear systems with output constraints and unknown nonlinearities. First of all, a tan-type barrier Lyapunov function (BLF) is constructed to deal constraint issue. Subsequently, an algorithm developed by combining BLF adding power integrator technique. Simultaneously, analysis shows that designed controller can guarantee boundness all variables in closed-loop system probability without violating given constraint. Finally, some comparative simulation results are provided demonstrate effectiveness proposed method.