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• W2904503619 abstract "Abstract Discrete nonlinear stochastic systems with general parametric noises are considered. To approximate the dispersion of random states, we propose an asymptotic approach based on the stochastic sensitivity analysis. This approach is used for the solution of the stabilization problem for the discrete controlled systems forced by parametric noise. A theory of the synthesis of the stochastic sensitivity by the feedback regulators is elaborated. Regulators minimizing the stochastic sensitivity are used in the problem of the structural stabilization of equilibrium regimes in population dynamics. The efficiency of this technique is demonstrated on the example of the suppression of undesired noisy large-amplitude regular and chaotic oscillations in the Hassell population model." @default.
• W2904503619 created "2018-12-22" @default.
• W2904503619 creator A5034553893 @default.
• W2904503619 date "2018-01-01" @default.
• W2904503619 modified "2023-09-25" @default.
• W2904503619 title "Stochastic Sensitivity Synthesis in Discrete-Time Systems with Parametric Noise" @default.
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• W2904503619 doi "https://doi.org/10.1016/j.ifacol.2018.11.491" @default.
• W2904503619 hasPublicationYear "2018" @default.
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