Abstract: This paper proposes an adaptive learning algorithm for stochastic nonlinear systems with dead-zone characteristics and state constraints. First, the approximation capability of neural ...

Abstract: This paper explores the fixed-time tracking control problem for fractional-order nonlinear systems with full state constraints. A novel fixed-time tracking control strategy is proposed for ...