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基于观测器的随机非线性多时滞系统模糊自适应输出反馈控制。

Observer-Based Fuzzy Adaptive Output-Feedback Control of Stochastic Nonlinear Multiple Time-Delay Systems.

出版信息

IEEE Trans Cybern. 2017 Sep;47(9):2568-2578. doi: 10.1109/TCYB.2017.2655501. Epub 2017 Feb 21.

Abstract

This paper is concerned with the observer-based fuzzy output-feedback control for stochastic nonlinear multiple time-delay systems. On the basis of the consistent form of virtual input signals and increasing characteristics of the system upper bound functions, a variable splitting technique is employed to surmount the difficulty occurred in the nonlower-triangular form. In the controller design procedure, a state observer is first designed, and then an adaptive fuzzy output-feedback control method is presented by combining backstepping design together with fuzzy systems' universal approximation capability. The proposed adaptive controller guarantees the semi-global boundedness of closed-loop system trajectories in terms of fourth-moment. Two simulation examples are displayed to demonstrate the feasibility of the suggested controller.

摘要

本文针对随机非线性多时滞系统,研究了基于观测器的模糊输出反馈控制问题。基于虚拟输入信号的一致形式和系统上界函数的递增特性,采用变量分裂技术克服了非下三角形式带来的困难。在控制器设计过程中,首先设计状态观测器,然后结合反步设计和模糊系统的通用逼近能力,提出了一种自适应模糊输出反馈控制方法。所提出的自适应控制器保证了闭环系统轨迹在四阶矩意义下的半全局有界性。通过两个仿真示例验证了所提出控制器的可行性。

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