Krylov-based minimization for optimal H2 model reduction
نویسندگان
چکیده
We present an approach to model reduction for linear dynamical systems that is numerically stable, computationally tractable even for very large order systems, produces a sequence of monotone decreasing H2 error norms, and (under modest hypotheses) is globally convergent to a reduced order model that is guaranteed to satisfy first-order optimality conditions with respect to H2 error.
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تاریخ انتشار 2007