Contributions to Adaptive Control of Multivariable Nonlinear Systems With and Without Observers

dc.contributor.author	Merazka, Loubna
dc.contributor.author	Boulkroune, Abdesselem (encadreur)
dc.date.accessioned	2022-10-24T13:48:55Z
dc.date.available	2022-10-24T13:48:55Z
dc.date.issued	2019-12-08
dc.identifier.uri	http://dspace.univ-jijel.dz:8080/xmlui/handle/123456789/11306
dc.description.abstract	The work of this thesis deals with two types of problems in adaptive fuzzy control for nonlinear multivariable systems: state-feedback control and output-feedback control. In all proposed adaptive control schemes, fuzzy logic systems are used to appropriately approximate uncertain nonlinear functions. A Lyapunov-based analysis is carried out to conclude about the stability of the closed-loop system as well as the convergence of the underlying (tracking and observation) errors. Numerical simulations are presented to demonstrate the effectiveness of theoretical results.	fr_FR
dc.language.iso	en	fr_FR
dc.subject	Multivariable systems, adaptive fuzzy control, observer, Lyapunov stability	fr_FR
dc.title	Contributions to Adaptive Control of Multivariable Nonlinear Systems With and Without Observers	fr_FR
dc.type	Thesis	fr_FR