Null controllability results for stochastic delay systems with delayed perturbation of matrices

T. Sathiyaraj, Michal Fečkan and JinRong Wang

Chaos, Solitons & Fractals, 2020, vol. 138, issue C

Abstract: In this paper, we adopt a notation of delayed perturbation of matrices to study controllability of stochastic delay systems in finite dimensional spaces. By using the delayed perturbation of matrix, we write an explicit formula of solutions to linear stochastic delay systems. We present the necessary and sufficient conditions for null controllability of linear stochastic delay systems by using perturbed controllability matrix and rank correlation method. Thereafter, sufficient conditions are derived for null controllability of semilinear stochastic delay systems under the proved results of corresponding linear stochastic system is null controllable, stochastic linear controllability operator, appropriate hypothesis on semilinear term and stochastic delay analysis techniques. The obtained theoretical results is verified through numerical simulation.

Keywords: Stochastic delay systems; Delayed perturbations matrix; Controllability (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:138:y:2020:i:c:s096007792030326x

DOI: 10.1016/j.chaos.2020.109927

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