Prescribed‐Time Adaptive Dynamic Surface Control for Non‐Strict‐Feedback Nonlinear Systems
In this paper, we investigate the practical prescribed‐time (PPT) tracking control problem for a class of nonlinear non‐strict‐feedback systems with arbitrarily bounded initial states. A radial basis function neural network (RBFNN) is employed to approximate unknown and possibly non‐differentiable system dynamics. By...