多时滞非线性双曲型PDE系统的H∞容错模糊间歇控制。

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2025-01-01 DOI:10.1016/j.isatra.2024.11.017
Xu Zhang , Xuan Gao , Zi-Peng Wang , Biao Luo , Ke-Zhen Han , Xue-Hua Yan
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引用次数: 0

摘要

针对具有多时滞和执行器失效的非线性双曲型偏微分方程(PDE)系统,提出了一种H∞容错模糊间歇控制方法。首先,利用Takagi-Sugeno (T-S)模糊延迟双曲PDE模型对mdaf非线性双曲PDE系统进行了表征。其次,利用Lyapunov直接方法,利用空间线性矩阵不等式(SLMIs)证明了基于一种新的切换Lyapunov泛函(LF)的鲁棒指数稳定性。在此基础上,将具有mdaf的非线性双曲型PDE系统的H∞容错模糊间歇控制问题转化为LMI的可行性问题来处理slmi。最后,通过两个实例验证了所构建控制策略的可行性。
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H∞ fault-tolerant fuzzy intermittent control for nonlinear hyperbolic PDE systems with multiple delays and actuator failures
This study presents an H fault-tolerant fuzzy intermittent control approach for the nonlinear hyperbolic partial differential equation (PDE) systems with multiple delays and actuator failures (MDAFs). Firstly, the nonlinear hyperbolic PDE systems with MDAFs are characterized by the Takagi–Sugeno (T–S) fuzzy delayed hyperbolic PDE model. Next, by employing the Lyapunov direct method, this paper demonstrates the robust exponential stability using spatial linear matrix inequalities (SLMIs) based on a new switching Lyapunov functional (LF). Furthermore, the H fault-tolerant fuzzy intermittent control issue for nonlinear hyperbolic PDE systems with MDAFs is transformed into the LMI feasibility problem to deal with the SLMIs. Lastly, the feasibility of the constructed control strategy is demonstrated by two illustrative examples.
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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