Synthesis of stochastic attractors for nonlinear dynamical systems and controlling chaos

  • Authors:
  • Irina Bashkirtseva;Lev Ryashko

  • Affiliations:
  • Department of Mathematics, Ural State University, Ekaterinburg, Russia;Department of Mathematics, Ural State University, Ekaterinburg, Russia

  • Venue:
  • Neural, Parallel & Scientific Computations
  • Year:
  • 2010

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Abstract

We consider a nonlinear discrete-time control system with regular and chaotic dynamics forced by stochastic disturbances. The problem addressed is a design of the feedback regulator which stabilizes cycles of the closed-loop deterministic system and synthesizes a required probabilistic distribution of random attractors for corresponding stochastic system. To solve this problem, we propose a new method based on the stochastic sensitivity function technique. We study a synthesis of the stochastic sensitivity function and constructive design of regulator parameters. An effectiveness of the proposed approach is demonstrated on the stochastic Verhulst model. It is shown that this regulator forms a stochastic attractor with low level of sensitivity and suppresses chaos.