Robust stabilization of MIMO systems in finite/fixed time

descriptionPublicationkeyboard_double_arrow_right Article 19 Jan 2015 France English Publisher:WileyJournal:International Journal of Robust and Nonlinear Control, volume 26, pages 69-90 (issn: 1049-8923, eissn: 1099-1239,

Copyright policy )

Authors: Polyakov, Andrey; Efimov, Denis; Perruquetti, Wilfrid;

doi: 10.1002/rnc.3297

Robust stabilization of MIMO systems in finite/fixed time

- Summary
- Subjects
- Metrics

Abstract

SummaryThe control design problem for finite‐time and fixed‐time stabilizations of linear multi‐input system with nonlinear uncertainties and disturbances is considered. The control design algorithm based on block decomposition and implicit Lyapunov function technique is developed. The robustness properties of the obtained control laws with respect to matched and unmatched uncertainties and disturbances are studied. Procedures for tuning of control parameters are presented in the form of linear matrix inequalities. Aspects of practical implementation of developed algorithms are discussed. Theoretical results are supported by numerical simulations. Copyright © 2015 John Wiley & Sons, Ltd.

Country

France

Related Organizations

View all View all

Keywords

Adaptive or robust stabilization, Control/observation systems with incomplete information, nonasymptotic stabilization, implicit Lyapunov function, homogeneity, Perturbations in control/observation systems, Linear systems in control theory, Homogeneity, Non-aymptotic stabilization, Implicit Lyapunov Function, [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering, Control/observation systems governed by ordinary differential equations

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	209
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%