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INPUT-TO-STATE STABILITY OF INFINITE-DIMENSIONAL STOCHASTIC NONLINEAR SYSTEMS

  • Pengfei Wang
  • , Mengyi Zhang
  • , Huan Su
  • Harbin Institute of Technology Weihai

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the input-to-state stability (ISS), stochastic-ISS (SISS) and integral-ISS (iISS) for mild solutions of infinite-dimensional stochastic nonlinear systems (IDSNS) are investigated, respectively. By constructing a class of Yosida strong solution approximating systems for IDSNS and using the infinite-dimensional version Itô’s formula, Lyapunov-based sufficient criteria are derived for ensuring ISS-type properties of IDSNS, which extend the existing corresponding results of infinite-dimensional deterministic systems. Moreover, two examples are presented to demonstrate the main results.

Original languageEnglish
Pages (from-to)821-836
Number of pages16
JournalDiscrete and Continuous Dynamical Systems - Series B
Volume27
Issue number2
DOIs
StatePublished - Feb 2022
Externally publishedYes

Keywords

  • Infinite-dimensional stochastic systems
  • Input-to-state stability
  • Itô’s formula
  • Lyapunov method
  • Mild solutions

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