Mixed Additive/Multiplicative H∞ Model Reduction
- 23 May 2013
- journal article
- Published by ASME International in Journal of Dynamic Systems, Measurement, and Control
- Vol. 135 (5), 051005
- https://doi.org/10.1115/1.4024111
Abstract
In this paper, the problem of mixed additive/multiplicative model reduction for stable linear continuous-time systems is studied. To deal with nonsquare or nonminimum phase systems, the multiplicative error bound is constructed using spectral factorization technique. By virtue of the bounded real lemma and the projection lemma, a linear matrix inequality approach is proposed for mixed additive/multiplicative H∞ model reduction, which can be implemented by the well-known cone complementary linearization method. Finally, two numerical examples are provided to demonstrate the effectiveness and advantages of the obtained results.Keywords
This publication has 36 references indexed in Scilit:
- Energy-Based Model Reduction Methodology for Automated ModelingJournal of Dynamic Systems, Measurement, and Control, 2010
- μ-Dependent model reduction for uncertain discrete-time switched linear systems with average dwell timeInternational Journal of Control, 2009
- A Survey/Review of Frequency-Weighted Balanced Model Reduction TechniquesJournal of Dynamic Systems, Measurement, and Control, 2008
- [Hamiltonian (script capital H)]∞ mode reduction for two-dimensional discrete state-delayed systemsIEE Proceedings - Vision, Image, and Signal Processing, 2006
- Model Reduction of Large-Scale Discrete Plants With Specified Frequency Domain Balanced StructureJournal of Dynamic Systems, Measurement, and Control, 2004
- A cone complementarity linearization algorithm for static output-feedback and related problemsIEEE Transactions on Automatic Control, 1997
- L2 and L2 - L model reduction via linear matrix inequalitiesInternational Journal of Control, 1997
- A linear matrix inequality approach to H∞ controlInternational Journal of Robust and Nonlinear Control, 1994
- Multiplicative Hankel norm approximation of linear multivariable systemsInternational Journal of Control, 1993
- Multiplicative-error bound for balanced stochastic truncation model reductionIEEE Transactions on Automatic Control, 1992