Observer-based Input-Output Finite-Time Control of T-S Fuzzy Stochastic Systems

Tong Wang, Feng Zhao, Xiangyong Chen, Jianlong Qiu, Guanzheng Wang, Chunting Xue
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引用次数: 1

Abstract

This paper describes the observer-based input-output finite-time stability (IO-FTS) of Takagi-Sugeno (T-S) fuzzy stochastic nonlinear systems with external disturbances and Brownian motions. For the general stochastic systems, a sufficient condition for IO-FTS for stochastic nonlinear systems. Therefore, we studies the input-output finite-time control (IO-FTC) of T-S fuzzy stochastic systems. Since the state variables of the system cannot be measured, a fuzzy observer is designed to estimate the unknown state variables. A singular value decomposition (SVD) method is used to solve the IO-FTC problem. The IO-FTS of T-S fuzzy stochastic system was realized by lyapunov function and linear matrix inequality (LMI), and the gain matrix of observer and controller was obtained. Finally, one example is given to verify the validity of the final results.
基于观测器的T-S模糊随机系统的输入输出有限时间控制
本文研究了具有外部扰动和布朗运动的Takagi-Sugeno (T-S)模糊随机非线性系统基于观测器的输入-输出有限时间稳定性。对于一般随机系统,给出了随机非线性系统IO-FTS存在的一个充分条件。因此,我们研究了T-S模糊随机系统的输入输出有限时间控制(IO-FTC)。由于系统的状态变量无法测量,设计了一个模糊观测器来估计未知的状态变量。采用奇异值分解(SVD)方法求解IO-FTC问题。利用lyapunov函数和线性矩阵不等式(LMI)实现了T-S模糊随机系统的IO-FTS,得到了观测器和控制器的增益矩阵。最后通过一个算例验证了最终结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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