Asynchronous H∞ Control of Switched Systems and Its Applications: An Admissible Chain-Dependent Average Dwell Time Switching Strategy

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-10-08 DOI:10.1109/TASE.2024.3470816
Qian Shen;Shengyuan Xu
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Abstract

This work is interested in the stability analysis and ${\mathcal {H}}_{\infty }$ control for a class of continuous-time switched systems with external disturbances and asynchronous switching. Based on the attributes of the closed-loop switched systems with edge-dependent state-feedback controllers, a novel admissible chain-dependent average dwell time switching strategy is proposed. The new switching is characterized by admissible transition chains derived from combining two admissible transition edges associated with two consecutive switching events, and it is expected to relax the dwell time constraints in the existing admissible edge-dependent average dwell time switching. Moreover, to reflect the nature of the discussed asynchronously switched systems, a hybrid chain- and edge-dependent Lyapunov function is introduced. Through the suggested switching and Lyapunov function methods, the stability and $\mathcal {L}_{2}$ -gain analysis results are obtained, based on which the intended edge-dependent ${\mathcal {H}}_{\infty }$ control scheme is designed. Finally, the provided control scheme is validated through switched DC motor and Boost models as well as a numerical example. Note to Practitioners—Switched systems are powerful tools for modeling engineering systems with switching events. In practical switched applications, recognizing subsystem modes and applying matched controllers can take some time, which leads to the asynchronous phenomenon. Furthermore, external disturbances are unavoidable in real systems. The more relaxed dwell time constraints of switching signals mean better applicability of the obtained results, especially for switched systems subject to asynchronous switching and external disturbances. The disturbance attenuation performance of an asynchronously switched system can be improved by reducing the running time of the subsystem performing poorly on this performance. Therefore, it is meaningful to devise a control scheme with relaxed dwell time constraints, which can be resolved by our proposed edge-dependent control method with admissible chain-dependent average dwell time.
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开关系统的异步 $\mathcal{H}_{\infty}$ 控制及其应用:一种可接受的依赖链的平均停留时间切换策略
本文研究一类具有外部干扰和异步切换的连续时间切换系统的稳定性分析和${\mathcal {H}}_{\infty }$控制。针对具有边相关状态反馈控制器的闭环切换系统的特点,提出了一种新的允许链相关平均停留时间切换策略。新开关的特点是由与两个连续开关事件相关的两个可容许过渡边组合而成的可容许过渡链,并且有望放宽现有的可容许边依赖的平均停留时间开关的停留时间限制。此外,为了反映所讨论的异步切换系统的性质,引入了链和边相关的混合李雅普诺夫函数。通过建议的开关和李雅普诺夫函数方法,得到了稳定性和$\mathcal {L}_{2}$增益分析结果,并在此基础上设计了预期的边相关${\mathcal {H}}_{\infty }$控制方案。最后,通过直流开关电机和Boost模型以及数值算例对所提供的控制方案进行了验证。从业人员注意:交换系统是为具有交换事件的工程系统建模的强大工具。在实际的切换应用中,识别子系统模式和应用匹配控制器需要一定的时间,这就导致了异步现象。此外,在实际系统中,外部干扰是不可避免的。切换信号的停留时间约束越宽松,意味着所得结果的适用性越好,特别是对于受异步切换和外部干扰影响的切换系统。异步切换系统的干扰衰减性能可以通过减少性能较差的子系统的运行时间来提高。因此,设计一种具有松弛停留时间约束的控制方案是有意义的,我们提出的具有允许链相关平均停留时间的边相关控制方法可以解决这一问题。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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