Stabilization of highly nonlinear hybrid stochastic differential delay equations with Lévy noise by delay feedback control

Hailing Dong, Juan Tang, Xuerong Mao

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
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Abstract

This paper focuses on a class of highly nonlinear stochastic differential delay equations (SDDEs) driven by Lévy noise and Markovian chain, where the drift and diffusion coefficients satisfy more general polynomial growth condition (than the classical linear growth condition). Under the local Lipschitz condition, the existence-and-unique theorem of the solution to the highly nonlinear SDDE is established. The key aim is to investigate the stabilization problem by delay feedback controls. The key features include that the time delay in the given system is of time-varying and may not be differentiable while the time lag in the feedback control can also be of time-varying as long as it has a sufficiently small upper bound.
Original languageEnglish
Pages (from-to)3302-3325
Number of pages24
JournalSIAM Journal on Control and Optimization
Volume60
Issue number6
DOIs
Publication statusPublished - 16 Dec 2022

Keywords

  • highly non-linearity
  • stochastic differential delay equations
  • Markov chain
  • Lévy noise
  • exponential stability
  • control and optimization

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