As an extension of the conventional prescribed tracking performance constraint problem, this paper proposes a novel online tracking performance constrained control combined with the dynamic surface control (DSC) technique for a class of strict-feedback nonlinear systems with unmeasurable states and input saturation. Using fuzzy logic systems to approximate the unknown nonlinear functions, a high-gain fuzzy observer is designed for state estimation. In the development of DSC control, a serial-parallel estimation model is introduced to analyze the effect of input saturation, and a compensation term is added. To deal with the singularity problem of the prescribed performance constrained method, a novel online performance function is investigated to obtain a satisfactory tracking performance. Under the proposed control scheme, the stability and boundedness of all closed-loop signals are confirmed via Lyapunov synthesis. Finally, numerical simulation results illustrate the effectiveness of the proposed scheme.

中文翻译：

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输入饱和下非线性不确定系统的在线基于性能的自适应模糊动态表面控制

作为传统规定跟踪性能约束问题的扩展，本文针对一类具有不可测状态和输入饱和的严格反馈非线性系统，提出了一种结合动态表面控制（DSC）技术的新型在线跟踪性能约束控制。利用模糊逻辑系统来逼近未知的非线性函数，设计了一种高增益模糊观测器用于状态估计。在DSC控制的发展中，引入了串并联估计模型来分析输入饱和的影响，并增加了补偿项。为了解决规定性能约束方法的奇异性问题，研究了一种新的在线性能函数以获得令人满意的跟踪性能。根据建议的管制计划，所有闭环信号的稳定性和有界性都通过李雅普诺夫综合得到确认。最后，数值模拟结果说明了所提出方案的有效性。