{"title":"New LKF approach for non-weighted L2 gain of switched linear systems with delay","authors":"Yachun Yang , Xiaodi Li , Xinsong Yang","doi":"10.1016/j.cnsns.2025.108612","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on observer-state feedback control for global asymptotic stabilization (GAS) with non-weighted <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>-gain of switched linear systems with delay. Two kinds of mode-pendent event-triggered control (ETCs) are proposed for both the observer and the controller: one can exclude the Zeno phenomenon and adjust the event intervals by tuning the parameters while the other cannot. An innovative approach is established to ensure the monotonic decrease of the Lyapunov–Krasovskii functional (LKF) at switching moments, which makes it easy to analyze non-weighted <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>-gain of switched time-delay systems without any conservative transformation. Four key conclusions are presented using linear matrix inequalities (LMIs) to show the respective merits of the two ETC schemes. Two effective algorithms are presented to design the observer gains, the triggering weights, the control gains, and the minimum <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>-gains. Numerical simulations are employed to demonstrate the low conservatism and the merits of the obtained results.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"143 ","pages":"Article 108612"},"PeriodicalIF":3.4000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425000231","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper focuses on observer-state feedback control for global asymptotic stabilization (GAS) with non-weighted -gain of switched linear systems with delay. Two kinds of mode-pendent event-triggered control (ETCs) are proposed for both the observer and the controller: one can exclude the Zeno phenomenon and adjust the event intervals by tuning the parameters while the other cannot. An innovative approach is established to ensure the monotonic decrease of the Lyapunov–Krasovskii functional (LKF) at switching moments, which makes it easy to analyze non-weighted -gain of switched time-delay systems without any conservative transformation. Four key conclusions are presented using linear matrix inequalities (LMIs) to show the respective merits of the two ETC schemes. Two effective algorithms are presented to design the observer gains, the triggering weights, the control gains, and the minimum -gains. Numerical simulations are employed to demonstrate the low conservatism and the merits of the obtained results.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
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Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
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