Observer-Based Adaptive Control for Uncertain Fractional-Order T-S Fuzzy Systems with Output Disturbances

IF 3.6 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Yilin Hao, Heng Liu, Zhiming Fang
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引用次数: 0

Abstract

This paper is devoted to the observer-based adaptive robust control for fractional-order Takagi–Sugeno (T-S) fuzzy systems with input uncertainties and output disturbances. By combining system states and output perturbations as new state variables, an augmented fuzzy system whose state variables are unknown is built. Furthermore, an observer is devised to simultaneously estimate unmeasurable system states together with unknown external disturbances. Two stability theorems are derived to prove the asymptotic stability of the error system based on linear matrix inequalities and Lyapunov stability theory. Finally, simulation results are provided to demonstrate the effectiveness of the designed method.

Abstract Image

具有输出扰动的不确定分数阶 T-S 模糊系统的基于观测器的自适应控制
本文致力于研究具有输入不确定性和输出扰动的分数阶高木-菅野(T-S)模糊系统的基于观测器的自适应鲁棒控制。通过将系统状态和输出扰动作为新的状态变量,建立了一个状态变量未知的增强模糊系统。此外,还设计了一个观测器来同时估计不可测量的系统状态和未知的外部扰动。根据线性矩阵不等式和 Lyapunov 稳定性理论,推导出两个稳定性定理来证明误差系统的渐进稳定性。最后,还提供了模拟结果,以证明所设计方法的有效性。
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来源期刊
International Journal of Fuzzy Systems
International Journal of Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
7.80
自引率
9.30%
发文量
188
审稿时长
16 months
期刊介绍: The International Journal of Fuzzy Systems (IJFS) is an official journal of Taiwan Fuzzy Systems Association (TFSA) and is published semi-quarterly. IJFS will consider high quality papers that deal with the theory, design, and application of fuzzy systems, soft computing systems, grey systems, and extension theory systems ranging from hardware to software. Survey and expository submissions are also welcome.
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