Integral sliding mode control and stability for Markov jump systems with structured perturbations and time-varying delay driven by fractional Brownian motion

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2024-08-01 DOI:10.1016/j.isatra.2024.05.025
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Abstract

The issues of stability and sliding mode control (SMC) for time-varying delay Markov jump systems (MJSs) with structured perturbations constrained by fractional Brownian motion (fBm) are explored. First, constructing a novel Lyapunov–Krasovskii functional (LKF) with exponential terms that contain the double-integral term, the pth moment exponential stability conditions are derived by utilizing the generalized fractional Itoˆ formula and conditional mathematical expectation. Subsequently, by designing the innovative integral sliding mode surface (SMS) associated with time-varying delay and the SMC law, the state trajectories of the dynamic systems can reach the designed SMS within a finite time. Ultimately, the numerical experiment is executed to confirm and ensure the accuracy and reliability of the obtained results.

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分数布朗运动驱动的具有结构化扰动和时变延迟的马尔可夫跃迁系统的积分滑模控制和稳定性
本文探讨了具有分数布朗运动(fBm)约束的结构化扰动的时变延迟马尔可夫跃迁系统(MJS)的稳定性和滑模控制(SMC)问题。首先,利用广义分数伊托公式和条件数学期望,构建了包含双积分项指数项的新型 Lyapunov-Krasovskii 函数(LKF),并推导出 pth 时刻指数稳定性条件。随后,通过设计与时变延迟和 SMC 规律相关的创新积分滑动模态面(SMS),动态系统的状态轨迹可在有限时间内到达设计的 SMS。最后,通过数值实验确认并确保所获结果的准确性和可靠性。
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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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