Fixed-Time Adaptive Fuzzy Funnel Control for Strict-Feedback Nonlinear Systems

Yingxuan Zhu, Chuang Gao, Yonghui Yang, Xin Liu
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Abstract

In this paper, the problem of fixed-time adaptive tracking control for strict-feedback nonlinear systems is studied. By introducing a new tunnel constraint variable, a new adaptive and practical fixed-time controller is constructed based on fuzzy control, fixed-time Lyapunov stability theory and backstepping algorithm. Fuzzy logic system is introduced to approximate the unknown term of the system. Theoretical analysis shows that under the control strategy, and the tracking error converges to a small neighborhood of the origin within fixed-time intervals, where the convergence time is independent of the initial state of the system. At the same time, all the signals of the closed-loop system are bounded. Simulation results show that the proposed controller is effective.
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严格反馈非线性系统的固定时间自适应模糊漏斗控制
研究了严格反馈非线性系统的定时自适应跟踪控制问题。通过引入新的隧道约束变量,基于模糊控制、定时李雅普诺夫稳定性理论和反演算法构造了一种新的自适应、实用的定时控制器。引入模糊逻辑系统来逼近系统的未知项。理论分析表明,在控制策略下,跟踪误差在固定的时间间隔内收敛到原点的一个小邻域内,其中收敛时间与系统的初始状态无关。同时,闭环系统的所有信号都是有界的。仿真结果表明该控制器是有效的。
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