NN Reinforcement Learning Adaptive Control for a Class of Nonstrict-Feedback Discrete-Time Systems

• Published in: IEEE transactions on cybernetics Vol. 50; no. 11; pp. 4573 - 4584
• Main Authors: Bai, Weiwei, Li, Tieshan, Tong, Shaocheng
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Adaptive systems; Backstepping; Control design; Controllers; Discrete time systems; Feedback control; Learning; neural network (NN); Neural networks; Nonlinear systems; nonstrict-feedback systems; Optimal control; optimal controller; Reinforcement learning; reinforcement learning (RL)

This article investigates an adaptive reinforcement learning (RL) optimal control design problem for a class of nonstrict-feedback discrete-time systems. Based on the neural network (NN) approximating ability and RL control design technique, an adaptive backstepping RL optimal controller and a minim...