Abstract
This paper considers the problem of model reduction of a class of discrete-time systems subject to Lipschitzian nonlinearities. It is shown that under some conditions the nonlinear system can be either approximated by a discrete-time linear time-invariant system or a nonlinear system of reduced order. The computation of the matrices of the reduced-order system is carried out through the solutions of a set of linear matrix inequalities. The proposed design is approved by the simulation of reduced-order dynamics of a mass-spring system subject to a nonlinear friction and a linear electric circuit with uncertain parameters.
| Original language | English |
|---|---|
| Pages (from-to) | 78-93 |
| Number of pages | 16 |
| Journal | Applied Mathematics and Computation |
| Volume | 250 |
| DOIs | |
| State | Published - 1 Jan 2015 |
Bibliographical note
Publisher Copyright:© 2014 Elsevier Inc. All rights reserved.
Keywords
- Convex optimization
- Discrete nonlinear systems
- Linear Matrix Inequalities (LMIs)
- Model reduction
ASJC Scopus subject areas
- Computational Mathematics
- Applied Mathematics
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