Controllability of stochastic nonlinear oscillating delay systems driven by the Rosenblatt distribution

T. Sathiyaraj, Jin Rong Wang, D. O'Regan

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

29 Citations (Scopus)

Abstract

In this paper, we study the controllability of second-order nonlinear stochastic delay systems driven by the Rosenblatt distributions in finite dimensional spaces. A set of sufficient conditions are established for controllability of nonlinear stochastic delay systems using fixed point theory, delayed sine and cosine matrices and delayed Grammian matrices. Furthermore, controllability results for second-order stochastic delay systems driven by Rosenblatt distributions via the representation of solution by delayed sine and cosine functions are presented. Finally, our theoretical results are illustrated through numerical simulation.

Original languageEnglish
Pages (from-to)217-239
Number of pages23
JournalProceedings of the Royal Society of Edinburgh Section A: Mathematics
Volume151
Issue number1
DOIs
Publication statusPublished - Feb 2021

Keywords

  • Controllability
  • Delayed perturbations matrix
  • Stochastic delay systems

Fingerprint

Dive into the research topics of 'Controllability of stochastic nonlinear oscillating delay systems driven by the Rosenblatt distribution'. Together they form a unique fingerprint.

Cite this