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220701 ||| eng |
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|a 9783030951573
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|a Beattie, Christopher
|e [editor]
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245 |
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|a Realization and Model Reduction of Dynamical Systems
|h Elektronische Ressource
|b A Festschrift in Honor of the 70th Birthday of Thanos Antoulas
|c edited by Christopher Beattie, Peter Benner, Mark Embree, Serkan Gugercin, Sanda Lefteriu
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|a 1st ed. 2022
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260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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300 |
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|a XIX, 460 p. 115 illus., 102 illus. in color
|b online resource
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|a Part V: Applications: D. Clifford, Oscillations in Biology: G. Eduardo, Model-Order Reduction for Coupled Flow andLinear Thermal-Poroplasticity with Applications to Unconventional Reservoirs -- I. Roxana, Challenges in model reduction for real-time simulation of traction chain systems -- N. Masaaki, Sparse Representation for Sampled-data Hinf Filter -- S. Eduardo, Analysis of a reduced model of epithelial–mesenchymal fate determination in cancer metastasis as a singularly-perturbed monotone system
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505 |
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|a Part I: Linear Dynamical Systems: B. Joseph, The rational interpolation problem: Grassmannian and Loewner-matrix approaches -- B. Jean-Paul, The conditioning of a linear barycentric rational interpolant -- D. Zlatko, Learning low-dimensional dynamical-system models from noisy frequency-response data with Loewner rational interpolation -- E. Mark, Pseudospectra of Loewner Matrix Pencils -- R. Paolo, A Loewner matrix approach to the identification of linear time-varying systems -- V. D. Paul, Linear System Matrices of Rational Transfer Functions -- Part II: Nonlinear Dynamical Systems: C. Xingang, Interpolation-based Model Order Reduction for Quadratic-Bilinear Systems and H2 Optimal Approximation -- C. Sridhar, An Adaptive Sampling Approach for the reduced basis method -- K. Boris, Balanced Truncation Model Reduction for Lifted Nonlinear Systems -- L. Sanda, Modeling the buck converter from measurements of its Harmonic Transfer Function --
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505 |
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|a P. Mihaly, Model reduction and realization theory oflinear switched systems -- Part III: Structured Dynamical Systems: F. F. Damasceno, Developments in the Computation of Reduced Order Models with the Use of Dominant Spectral Zeros -- M. Volker, Structure-preserving Interpolatory Model Reduction for Port-Hamiltonian Differential-Algebraic Systems -- P. D. Igor, Data-Driven Identification of Rayleigh-Damped Second-Order Systems -- S. Tatjana, Balanced truncation model reduction for 3D linear magneto-quasistatic field problems -- Van der S. Arjan, Structure-preserving model reduction of physical network systems -- Part IV: Model Reduction for Control: B. Tobias, H2-gap model reduction for stabilizable and detactable systems -- H. Matthias, Reduced Order Model Hessian Approximations in Newton Methods for Optimal Control -- P.-V. Charles, Interpolation-based irrational model control design and stabilty analysis --
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653 |
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|a Complex Systems
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653 |
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|a Computer science
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653 |
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|a Numerical Analysis
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653 |
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|a Computer Science
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653 |
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|a Control theory
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653 |
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|a Systems Theory, Control
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653 |
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|a System theory
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653 |
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|a Numerical analysis
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700 |
1 |
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|a Benner, Peter
|e [editor]
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700 |
1 |
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|a Embree, Mark
|e [editor]
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700 |
1 |
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|a Gugercin, Serkan
|e [editor]
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041 |
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7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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028 |
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|a 10.1007/978-3-030-95157-3
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856 |
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|u https://doi.org/10.1007/978-3-030-95157-3?nosfx=y
|x Verlag
|3 Volltext
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|a 3
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|a This book celebrates Professor Thanos Antoulas's 70th birthday, marking his fundamental contributions to systems and control theory, especially model reduction and, more recently, data-driven modeling and system identification. Model reduction is a prominent research topic with wide ranging scientific and engineering applications.
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