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Unified Stability Criteria of Random Nonlinear Time-Varying Impulsive Switched Systems

Ticao Jiao, Wei Xing Zheng, Shengyuan Xu

2020IEEE Transactions on Circuits and Systems I Regular Papers76 citationsDOI

Abstract

This paper investigates the problem of noise-to-state practical stability in mean (NSpS-M) (which is a natural generalization of noise-to-state stability in mean) and the problem of almost sure global asymptotic stability (GAS a.s.) for a class of random nonlinear time-varying impulsive switched systems. By using the notions of average impulsive switched interval and Poisson process, unified sufficient stability criteria on NSpS-M and GAS a.s. are derived. Two remarkable distinctions from the existing results lie in that: (1) stabilizing, inactive and destabilizing impulses are simultaneously considered; (2) the coefficient of the derivative of a Lyapunov function is allowed to be a time-varying function which can be both positive and negative and may even be unbounded. As an accompaniment, a less conservative unified criterion on NSpS-M for a special case is also presented by taking into account the stabilization role of the gain constant of the time-varying coefficient. Two examples are provided to illustrate the effectiveness of our derived criteria.

Topics & Concepts

MathematicsStability (learning theory)Control theory (sociology)Nonlinear systemLyapunov functionExponential stabilityGeneralizationConstant (computer programming)Noise (video)Applied mathematicsFunction (biology)State (computer science)Poisson distributionMathematical analysisComputer scienceStatisticsAlgorithmPhysicsControl (management)Programming languageArtificial intelligenceMachine learningEvolutionary biologyQuantum mechanicsImage (mathematics)BiologyStability and Control of Uncertain SystemsNeural Networks Stability and SynchronizationControl Systems and Identification
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