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RESEARCH PRODUCT

Fuzzy Sliding Mode Controller Design Using Takagi-Sugeno Modelled Nonlinear Systems

Hamid Reza KarimiSofiane BououdenMohammed Chadli

subject

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Lyapunov stabilityEngineeringArticle Subjectbusiness.industrylcsh:MathematicsGeneral MathematicsVDP::Technology: 500::Mechanical engineering: 570General Engineeringlcsh:QA1-939Stability (probability)Fuzzy logicSystem dynamicsNonlinear systemlcsh:TA1-2040Control theoryControl systemBounded functionlcsh:Engineering (General). Civil engineering (General)business

description

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/734094 Open access Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in this paper. The unknown system dynamics and upper bounds of the minimum approximation errors are adaptively updated with stabilizing adaptive laws. The closed-loop system driven by the proposed controllers is shown to be stable with all the adaptation parameters being bounded. The performance and stability of the proposed control system are achieved analytically using the Lyapunov stability theory. Simulations show that the proposed controller performs well and exhibits good performance.

yearjournalcountryeditionlanguage
2013-01-01Mathematical Problems in Engineering
10.1155/2013/734094http://dx.doi.org/10.1155/2013/734094