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Dynamic systems with stochastic input processes are general engineering models.
Linear discrete-time systems with stochastic uncertainties in their state-space matrices are considered.
This paper is concerned with the problem of filtering for networked systems with stochastic protocols.
Detailed applications for linear systems with stochastic coefficients under noise excitation and for a non-linear oscillator are analysed.
The results obtained here are an improvement over previously available results for linear systems with stochastic stiffness.
In this study a methodology is presented for effective analysis of dynamic systems with stochastic material properties.
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The results are further extended to system with stochastic input-to-state stable (SISS) inverse dynamics.
It does this by applying constrained MPC to a system with stochastic disturbances.
This paper deals with the problem of controller design for time-delay system with stochastic disturbance and actuator saturation.
D.J. Perreault and J.G. Kassakian, "Analysis and Control of a Cellular Converter System With Stochastic Ripple Cancellation and Minimal Magnetics," IEEE Transactions on Power Electronics, Vol. 12, No. 1, Jan . 1997 pp. 145-152.
By applying an input-delay approach, the probabilistic sampling system is transformed into a continuous time-delay system with stochastic parameters in the system matrices.
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