Adaptive Neural Dynamic Surface Control With Prespecified Tracking Accuracy of Uncertain Stochastic Nonstrict-Feedback Systems

• Published in: IEEE transactions on cybernetics Vol. 52; no. 5; pp. 3408 - 3421
• Main Authors: Wu, Jian, Chen, Xuemiao, Zhao, Qianjin, Li, Jing, Wu, Zheng-Guang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.05.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Adaptive control; Adaptive neural control; Adaptive systems; Artificial neural networks; Continuity (mathematics); Control systems design; Controllers; dynamic surface technique; Feedback; Fuzzy control; MIMO communication; Neural networks; Nonlinear filters; Nonlinear systems; prespecified tracking accuracy; Radial basis function; stochastic nonstrict-feedback systems; Stochastic systems; Switches; Tracking control; Tracking errors

This article addresses the adaptive neural tracking control problem for a class of uncertain stochastic nonlinear systems with nonstrict-feedback form and prespecified tracking accuracy. Some radial basis function neural networks (RBF NNs) are used to approximate the unknown continuous functions onl...