Full state constraints-based adaptive tracking control for uncertain nonlinear stochastic systems with input saturation

• Published in: Journal of the Franklin Institute Vol. 357; no. 9; pp. 5125 - 5142
• Main Authors: Hua, Changchun, Meng, Rui, Li, Kuo, Guan, Xinping
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.06.2020; Elsevier Science Ltd
• Subjects: Adaptive control; Algorithms; Asymmetry; Boundaries; Boundary value problems; Computer simulation; Constraints; Control methods; Control systems design; Control theory; Controllers; Feedback control; High gain; Liapunov functions; Nonlinear control; Nonlinear systems; Saturation; Simulation; State variable; Stochastic models; Stochastic systems; Tracking control

This paper focuses on the adaptive tracking control problem for uncertain nonlinear stochastic systems subject to input saturation under full state constraints. Different from existing works, we propose a novel predefined performance control algorithm to deal with the full state constraint problem....