GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
SIAM Journal on Scientific and Statistical Computing
Matrix computations (3rd ed.)
Applied numerical linear algebra
Applied numerical linear algebra
Projection frameworks for model reduction of weakly nonlinear systems
Proceedings of the 37th Annual Design Automation Conference
Krylov-subspace methods for reduced-order modeling in circuit simulation
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. III: linear algebra
Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems
Applied Numerical Mathematics
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Approximation of Large-Scale Dynamical Systems (Advances in Design and Control) (Advances in Design and Control)
On H2 model reduction of bilinear systems
Automatica (Journal of IFAC)
Projection-based approaches for model reduction of weakly nonlinear, time-varying systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Structure-preserving model reduction of passive and quasi-active neurons
Journal of Computational Neuroscience
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In this paper we study numerical methods for the model-order reduction of large-scale bilinear multi-input multi-output systems. A new projection method is proposed. The projection subspace is the union of some new block Krylov subspaces. We show that the reduced-order bilinear system constructed by the new method can match a desired number of moments of multivariable transfer functions corresponding to the kernels of Volterra series representation of the original system. Some numerical examples are presented to illustrate the effectiveness of the proposed method.