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Structured singular value of implicit systems

Limantseva, O. ORCID: 0000-0003-2764-4415, Halikias, G. ORCID: 0000-0003-1260-1383 and Karcanias, N. (2020). Structured singular value of implicit systems. Mathematical Methods in the Applied Sciences, doi: 10.1002/mma.6980

Abstract

Implicit systems provide a general framework in which many important properties of dynamic systems can be studied. Implicit systems are especially relevant to behavioural systems theory, the analysis and synthesis of complex interconnected systems, systems identification and robust control. By incorporating algebraic constraints, implicit models provide additional versatility relative to the standard input–output framework. Problems of robust stability in implicit systems lead in a natural way to non‐standard structured singular value (μ) formulations. In this note, it is shown that for a class of uncertainty structures involving repeated scalar parameters, these problems reduce to a standard μ problem which is well studied and for the solution of which several numerical algorithms are available. Our results are based on a matrix dilation technique and the redefinition of the uncertainty structure of the transformed problem. The main results of the paper are illustrated with a numerical example.

Publication Type: Article
Additional Information: This is the peer reviewed version of the following article: Limantseva, O, Halikias, G, Karcanias, N. Structured singular value of implicit systems. Math Meth Appl Sci. 2020; 1– 12, which has been published in final form at https://doi.org/10.1002/mma.6980. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Publisher Keywords: distance problems; implicit systems; robust control; structured singular value
Subjects: Q Science > QA Mathematics
Departments: School of Mathematics, Computer Science & Engineering
Date Deposited: 09 Dec 2020 09:18
URI: https://openaccess.city.ac.uk/id/eprint/25362
[img] Text - Accepted Version
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