Identification and data-driven reduced-order modeling for linear conservative port- and self-adjoint Hamiltonian systems
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[1] Arjan van der Schaft,et al. Structure preserving model reduction of port-Hamiltonian systems by moment matching at infinity , 2010, Autom..
[2] P. Rapisarda,et al. Identification and data-driven model reduction of state-space representations of lossless and dissipative systems from noise-free data , 2011, Autom..
[3] A. Schaft,et al. The Hamiltonian formulation of energy conserving physical systems with external ports , 1995 .
[4] L. Rodman,et al. Interpolation of Rational Matrix Functions , 1990 .
[5] J. Willems,et al. State Maps for Linear Systems , 1997 .
[6] Ronald D. DeGroat,et al. A correlation-based subspace tracking algorithm , 1998, IEEE Trans. Signal Process..
[7] Per Christian Hansen,et al. Computing Symmetric Rank-Revealing Decompositions via Triangular Factorization , 2001, SIAM J. Matrix Anal. Appl..
[8] J. Willems. Paradigms and puzzles in the theory of dynamical systems , 1991 .
[9] Froilán M. Dopico,et al. Accurate Symmetric Rank Revealing and Eigendecompositions of Symmetric Structured Matrices , 2006, SIAM J. Matrix Anal. Appl..
[10] Arjan van der Schaft,et al. State Maps from Integration by Parts , 2011, SIAM J. Control. Optim..
[11] J. Willems,et al. On Quadratic Differential Forms , 1998 .
[12] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[13] Stefano Stramigioli,et al. Modeling and Control of Complex Physical Systems - The Port-Hamiltonian Approach , 2014 .
[14] Alessandro Astolfi,et al. Model Reduction by Moment Matching for Linear and Nonlinear Systems , 2010, IEEE Transactions on Automatic Control.