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Data-Driven Model Reduction by Two-Sided Moment Matching
In this brief paper, we propose a time-domain data-driven method for model order reduction by two-sided moment matching for linear systems.
Stochastic Relative Degree and Path-wise Control of Nonlinear Stochastic Systems
For this class of systems, we introduce a notion of stochastic relative degree and a change of coordinates which transforms the dynamics to a stochastic normal form.
On Moment Matching for Stochastic Systems
In this paper we study the problem of model reduction by moment matching for stochastic systems.
Output Regulation of Linear Stochastic Systems
Drawing from the ideal solution, we formulate and solve approximate versions of the full-information and output-feedback problems, which do not yield perfect asymptotic tracking but can be solved in a realistic scenario.
