Prescribed performance adaptive fuzzy output-feedback dynamic surface control for nonlinear large-scale systems with time delays
Prescribed performance adaptive fuzzy output-feedback dynamic surface control for nonlinear large-scale systems with time delays
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DOI：
10.1016/j.ins.2014.08.060
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发表时间：
2015-01
期刊：
影响因子：
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通讯作者：
Yong-ming Li;Shaocheng Tong
中科院分区：
文献类型：
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作者：
Yong-ming Li;Shaocheng Tong
针对一类非线性大系统，提出了自适应模糊分散输出反馈控制方法。所考虑的非线性系统包含非结构化不确定性、未知的时变延迟和不可测量的状态。模糊逻辑系统用于近似非结构化不确定性，并设计模糊状态观测器来估计未测量状态。基于反步递归设计技术和规定性能技术，开发了一种新的自适应模糊输出反馈控制方法。为了克服反步控制设计中固有的“复杂性爆炸”问题，控制方案中引入了动态表面控制（DSC）技术。基于Lyapunov-Krasovskii泛函，证明了闭环系统中的所有信号都是有界的，并且跟踪误差在规定的性能范围内保持在原点的可调邻域内。提供了仿真示例并与以前的控制方法进行比较，以显示所提出的控制方法的有效性。
The adaptive fuzzy decentralized output-feedback control method is proposed for a class of nonlinear large-scale systems. The considered nonlinear systems contain unstructured uncertainties, unknown time-varying delays, and immeasurable states. Fuzzy logic systems are used to approximate the unstructured uncertainties, and a fuzzy state observer is designed to estimate the unmeasured states. Based on the backstepping recursive design technique and the prescribed performance technique, a new adaptive fuzzy output-feedback control method is developed. In order to overcome the problem of “explosion of complexity” inherent in the backstepping control design, the dynamic surface control (DSC) technique is introduced into the control scheme. Based on Lyapunov–Krasovskii functional, it is proved that all the signals in the closed-loop system are bounded and the tracking errors remain an adjustable neighborhood of the origin with the prescribed performance bounds. The simulation examples and comparison with the previous control methods are provided to show the effectiveness of the proposed control approach.