Adaptive fuzzy asymptotical tracking control of nonlinear systems with unmodeled dynamics and quantized actuator

作者：Wang, Huanqing^*; Liu, Peter Xiaoping; Xie, Xuejun; Liu, Xiaoping; Hayat, Tasawar; Alsaadi, Fuad E.

来源：Information Sciences, 2021, 575: 779-792.

DOI：10.1016/j.ins.2018.04.011

• Adaptive fuzzy control
• Non-strict-feedback systems
• Input quantization
• Unmodeled dynamics

This paper studies the problem of adaptive fuzzy asymptotical quantized tracking control of non-strict-feedback systems with unmodeled dynamics. A dynamic signal is used to cope with the unmodeled dynamics and fuzzy systems are introduced to approximate the packaged unknown nonlinearities. Based on backstepping technique and fuzzy approximation property, a systemic fuzzy adaptive control scheme is proposed. By the utilization of Lyapunov theory, the semi-globally uniformly ultimate boundedness of all closed-loop system signals and asymptotical tracking performance are guaranteed. The main contributions of this work are two aspects: (i) a backstepping-based quantized control algorithm is firstly extended to nonlinear systems with unmodeled dynamics and non-strict-feedback structure; (ii) the semi-globally asymptotic tracking control scheme is independent of the quantized parameter. Simulation results verify the presented control approach.

• 出版日期2021-10
• 单位渤海大学