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首页> 外文会议>2014 International Conference on Mechatronics and Control >Predefined performance fuzzy adaptive tracking control for nonlinear stochastic systems with input saturation
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Predefined performance fuzzy adaptive tracking control for nonlinear stochastic systems with input saturation

机译：具有输入饱和的非线性随机系统的预定义性能模糊自适应跟踪控制

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摘要

In this paper, the problem of adaptive fuzzy output feedback tracking control is investigated for a class of single-input and single-output nonlinear stochastic systems with prescribed performance, input saturation and unmeasured states. Fuzzy logic systems are used to identify the unknown nonlinear system, the input saturation is approximated by a smooth function, and a fuzzy state observer is designed for estimating the unmeasured states. Based on the backstepping recursive design technique and the predefined performance technique, a new fuzzy adaptive output feedback control method is developed. It is shown that all the signals of the resulting closed-loop system are bounded in probability and the tracking error remains an adjustable neighborhood of the origin with the prescribed performance bounds. A simulation example is provided to show the effectiveness of the proposed approach.
机译：针对一类具有规定性能，输入饱和度和未测状态的单输入单输出非线性随机系统，研究了自适应模糊输出反馈跟踪控制问题。模糊逻辑系统用于识别未知的非线性系统，输入饱和度通过平滑函数近似，模糊状态观察器用于估计未测状态。基于反推递归设计技术和预定义的性能技术，开发了一种新的模糊自适应输出反馈控制方法。结果表明，所产生的闭环系统的所有信号都具有概率限制，并且跟踪误差保持了具有指定性能范围的原点的可调邻域。提供了一个仿真示例，以显示所提出方法的有效性。

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