Linear Matrix Inequalities for Analysis and Control of Linear Vector Second-Order Systems

Fabiano Daher Adegas, Jakob Stoustrup

Research output: Contribution to journalJournal articleResearchpeer-review

6 Citations (Scopus)
1062 Downloads (Pure)

Abstract

SUMMARY Many dynamical systems are modeled as vector second-order differential equations. This paper presents analysis and synthesis conditions in terms of LMI with explicit dependence in the coefficient matrices of vector second-order systems. These conditions benefit from the separation between the Lyapunov matrix and the system matrices by introducing matrix multipliers, which potentially reduce conservativeness in hard control problems. Multipliers facilitate the usage of parameter-dependent Lyapunov functions as certificates of stability of uncertain and time-varying vector second-order systems. The conditions introduced in this work have the potential to increase the practice of analyzing and controlling systems directly in vector second-order form. Copyright © 2014 John Wiley & Sons, Ltd.
Original languageEnglish
JournalInternational Journal of Robust and Nonlinear Control
Volume25
Issue number16
Pages (from-to)2939-2964
Number of pages32
ISSN1049-8923
DOIs
Publication statusPublished - 2015

Fingerprint

Dive into the research topics of 'Linear Matrix Inequalities for Analysis and Control of Linear Vector Second-Order Systems'. Together they form a unique fingerprint.

Cite this