Neural Learning Control for State Constrained Strict-Feedback Systems: A State Predictor Method
This paper concentrates on the neural learning control (NLC) problem for strict-feedback nonlinear systems (SFNSs) despite the presence of time-varying state constraints. A constraint-free system is obtained from the original constrained system through the application of a nonlinear transformed function (NTF). Based on...