Adaptive fuzzy control for uncertain nonlinear systems

ABSTRACT

In this paper, a survey of adaptive fuzzy for uncertain nonlinear systems is presented. The first part introduces adaptive fuzzy control emergence and some typical control methods for uncertain nonlinear systems with matching conditions (single-input single-output systems, multi-input multi-output systems). The last part presents the adaptive fuzzy state feedback and output-feedback control methods for uncertain nonlinear systems with non-matching conditions based on the backstepping technique, including strict-feedback systems, pure-feedback systems and non-strict-feedback systems.

KEYWORDS:

• Adaptive fuzzy control
• backstepping technique
• uncertain nonlinear systems
• feedback control

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

This work was supported in part by the National Natural Science Foundation of China [grant number 61773188].

Notes on contributors

S. C. Tong

Shaocheng Tong (SM'15) received the BS degree in mathematics from Jinzhou Normal College, Jinzhou, China, in 1982, the MS degree in fuzzy mathematics from Dalian Maritime University, Dalian, China, in 1988, and the PhD degree in fuzzy control from Northeastern University, Shenyang, China, in 1997. He is currently a Professor with the College of Science, Liaoning University of Technology, Jinzhou, China. His current research interests include fuzzy and neural networks control and nonlinear adaptive control.