Tong Zhang
Neural Computation
We introduce new two-sided Arnoldi recursions and use them to define a model reduction procedure for large, linear, time-invariant, multi-input/multi-output differential algebraic systems. We prove that this procedure has desirable moment matching properties. We define a corresponding model reduction procedure which is based on a band nonsymmetric Lanczos recursion and prove that if the deflation is exact and there are no breakdowns in the recursions, then these two model reduction procedures generate identical reduced-order systems. We prove similar equivalences for corresponding eigenelement procedures. We concentrate on the theoretical properties of the new algorithms.
Tong Zhang
Neural Computation
Christoph Tillmann, Tong Zhang
COLING/ACL 2006
Jane Cullum, Ralph A Willoughby
Journal of Computational Physics
Joe H. Chow, Jane Cullum, et al.
IEEE Transactions on Power Apparatus and Systems