Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems With Full State Constraints

• Published in: IEEE transactions on cybernetics Vol. 47; no. 10; pp. 3100 - 3109
• Main Authors: Da-Peng Li, Dong-Juan Li, Yan-Jun Liu, Shaocheng Tong, Chen, C. L. Philip
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Artificial neural networks; barrier Lyapunov functions (BLFs); Computer Simulation; Delay; Delays; Design parameters; Liapunov functions; MIMO; MIMO (control systems); Neural Networks (Computer); neural networks (NNs); Nonlinear control; Nonlinear Dynamics; nonlinear multiple input multiple output (MIMO) time-delay systems; Nonlinear systems; Signal Processing, Computer-Assisted; Time Factors; Time-varying systems; Tracking control

This paper deals with the tracking control problem for a class of nonlinear multiple input multiple output unknown time-varying delay systems with full state constraints. To overcome the challenges which cause by the appearances of the unknown time-varying delays and full-state constraints simultane...