Stability under dwell time constraints: Discretization revisited

IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Thomas Mejstrik , Vladimir Yu. Protasov
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引用次数: 0

Abstract

We investigate the stability of continuous-time linear switching systems with a guaranteed dwell time. It is known that the dwell time restrictions make the main methods for deciding stability such as Lyapunov functions and discretization inapplicable, at least in their standard forms. Our work focuses on adapting the discretization approach to address this limitation. The discretization is done merely by replacing arbitrary switching law with piecewise-constant functions with a fixed step size. We demonstrate that this classical method can be modified so that it not only becomes applicable under the dwell time constraints but also outperforms traditional methods for unconstrained systems. Namely, the discretization with the step size h approximates the Lyapunov exponent with the precision Ch2, and the constant C can be explicitly evaluated. This result is unexpected, as the approximation accuracy for systems without a guaranteed dwell time is linear in h. Our methods implementation is efficient in dimensions up to 10 for arbitrary systems and up to several hundreds for positive systems. The numerical results are provided.
停留时间约束下的稳定性:离散化重新审视
研究了具有保证停留时间的连续线性开关系统的稳定性。众所周知,停留时间的限制使得主要的确定稳定性的方法,如李雅普诺夫函数和离散化,至少在它们的标准形式中是不适用的。我们的工作重点是采用离散化方法来解决这一限制。离散化仅仅是用具有固定步长的分段常数函数代替任意开关律来完成的。我们证明了这种经典方法可以改进,使其不仅适用于驻留时间约束,而且在无约束系统中优于传统方法。即步长为h的离散化近似Lyapunov指数,精度为Ch2,常数C可以显式求值。这个结果是出乎意料的,因为没有保证停留时间的系统的近似精度在h内是线性的。对于任意系统,我们的方法在高达10的维度上是有效的,对于正系统,我们的方法在高达数百的维度上是有效的。给出了数值结果。
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来源期刊
Nonlinear Analysis-Hybrid Systems
Nonlinear Analysis-Hybrid Systems AUTOMATION & CONTROL SYSTEMS-MATHEMATICS, APPLIED
CiteScore
8.30
自引率
9.50%
发文量
65
审稿时长
>12 weeks
期刊介绍: Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in any discipline. Papers that are principally concerned with the theory of hybrid systems should contain significant results indicating relevant applications. Papers that emphasize applications should consist of important real world models and illuminating techniques. Papers that interrelate various aspects of hybrid systems will be most welcome.
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