Adaptive Fuzzy Control for a Class of Stochastic Strict Feedback High-Order Nonlinear Systems With Full-State Constraints
Nan Wang, Fazhan Tao, Zhumu Fu, Shuzhong Song
Abstract
In this article, the problem of adaptive fuzzy control for stochastic high-order nonlinear systems with full-state constraints of the strict-feedback structure was investigated. The unknown nonlinear functions are approximated by using fuzzy logic systems (FLSs) at each step. By introducing the barrier Lyapunov functional candidate, a novel adaptive fuzzy backstepping control strategy is proposed to solve the control problem of stochastic nonlinear systems with full-state constraints. Finally, a numerical simulation example is given to show the effectiveness of the proposed control strategy.
Topics & Concepts
BacksteppingControl theory (sociology)Nonlinear systemFuzzy logicFuzzy control systemState (computer science)Adaptive controlMathematical optimizationComputer scienceClass (philosophy)MathematicsControl (management)Artificial intelligenceAlgorithmQuantum mechanicsPhysicsAdaptive Control of Nonlinear SystemsAdaptive Dynamic Programming ControlFuzzy Logic and Control Systems