Adaptive prescribed performance tracking control of high‐order uncertain nonlinear systems under full‐state time‐varying constraints

Author:

Chang Ru12ORCID,Bai Zhi‐Zhong1,Jiao Ting1,Sun Chang‐Yin23ORCID

Affiliation:

1. School of Automation and Software Engineering Shanxi University Taiyuan China

2. School of Automation Southeast University Nanjing China

3. School of Artificial Intelligence Anhui University Hefei China

Abstract

AbstractIn this article, the adaptive finite time prescribed performance tracking control problem of a class of high‐order uncertain nonlinear systems under full state time‐varying constraints is addressed. By using the logarithmic function based nonlinear mapping technique rather than the barrier Lyapunov function based method, the obstacle of the full‐state constraints is resolved, and the undesired “feasibility conditions” in controller design are eliminated. By improving the prescribed performance control method, the initial value problem is overcome, and the finite‐time convergence of the tracking error can be ensured. Then, with the aid of the adding a power integrator method, an adaptive finite time prescribed performance tracking controller is designed, not only the tracking error but also the full states can be guaranteed to converge to a predefined constraint region in the predetermined time. Simulation examples are given to show the validness of the proposed control strategy.

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Natural Science Foundation of Shanxi Province

Publisher

Wiley

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