A direct approach to the exit problem
SIAM Journal on Applied Mathematics
Deterministic noise amplifiers
Physica D
Quasipotential in stochastic stability analysis of the nonlinear oscillator orbits
Neural, Parallel & Scientific Computations
Confidence tori in the analysis of stochastic 3D-cycles
Mathematics and Computers in Simulation
On stochastic sensitivity control in discrete systems
Automation and Remote Control
Synthesis of stochastic attractors for nonlinear dynamical systems and controlling chaos
Neural, Parallel & Scientific Computations
On controlling stochastic sensitivity of oscillatory systems
Automation and Remote Control
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The limit cycles of nonlinear systems under the small stochastic disturbances are considered. The random trajectories of forced system leave the deterministic cycle and form some stochastic bundle around it. The probabilistic description of this bundle near cycle based on stochastic sensitivity function (SSF) is suggested. The SSF is a covariance matrix for periodic solution of linear stochastic first approximation system. This matrix is a solution of the boundary problem for linear matrix differential equation. For 3D-cycles this matrix differential equation on the basis of singular expansion is reduced to the system of three scalar equations only. The possibilities of SSF to describe some peculiarities of stochastically forced Roessler model are demonstrated.