Search results for "Takagi sugeno"

showing 6 items of 6 documents

A robust fault detection design for uncertain Takagi-Sugeno models with unknown inputs and time-varying delays

2013

Abstract This paper investigates the problem of robust fault detection system design for a class of uncertain Takagi–Sugeno (T–S) models. The system under consideration is subject to unknown input and time-varying delay. The fault detection system is designed such that the unknown input is thoroughly decoupled from residual signals generated by the fault detection system. Furthermore, the residual signals show the maximum possible sensitivity to the faults and the minimum possible sensitivity to the external disturbances. The model matching approach is utilized to tackle the effects of parametric uncertainties in the model of the system. The design procedure is presented in terms of Linear …

Engineeringbusiness.industryLinear Matrix InequalitiesComputer Science Applications1707 Computer Vision and Pattern RecognitionLinear matrixT-S modelResidualFault detection and isolationComputer Science ApplicationsTakagi sugenoControl theoryControl and Systems EngineeringSystems designSensitivity (control systems)Time-delayModel matchingbusinessFault detectionFault detection; Linear Matrix Inequalities; T-S model; Time-delay; Unknown input; Control and Systems Engineering; Analysis; Computer Science Applications1707 Computer Vision and Pattern RecognitionUnknown inputAnalysisParametric statistics
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On stability and stabilization of singular uncertain Takagi-Sugeno fuzzy systems

2014

This paper deals with the problem of robust stability and robust stabilization for a class of continuous-time singular Takagi-Sugeno fuzzy systems. Sufficient conditions on stability and stabilization are proposed in terms of strict LMI (Linear Matrix Inequality) for uncertain T-S fuzzy models. In order to reduce the conservatism of results developed using quadratic method, an approach based on non-quadratic Lyapunov functions and S-procedure is proposed. Illustrative examples are given to show the effectiveness of the given results Refereed/Peer-reviewed

Lyapunov functionComputer Networks and CommunicationsApplied MathematicsMathematicsofComputing_NUMERICALANALYSISStability (learning theory)Linear matrix inequalityrobust stabilityFuzzy control systemControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsFuzzy logicstabilizationsymbols.namesakeQuadratic equationTakagi sugenoControl and Systems EngineeringControl theoryComputer Science::Systems and ControlSignal ProcessingsymbolsTakagi-Sugeno fuzzy systemsMathematics
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Notice of Violation of IEEE Publication Principles: Robust Observer Design for Unknown Inputs Takagi–Sugeno Models

2013

This paper deals with the observer design for Takagi-Sugeno (T-S) fuzzy models subject to unknown inputs and disturbance affecting both states and outputs of the system. Sufficient conditions to design an unknown input T-S observer are given in linear matrix inequality (LMI) terms. Both continuous-time and discrete-time cases are studied. Relaxations are introduced by using intermediate variables. Extension to the case of unmeasured decision variables is also given. A numerical example is given to illustrate the effectiveness of the given results.

Mathematical optimizationObserver (quantum physics)Applied MathematicsDecision theoryLinear matrix inequalityFuzzy control systemExtension (predicate logic)Fuzzy logicDecision variablesComputational Theory and MathematicsTakagi sugenoComputer Science::Systems and ControlArtificial IntelligenceControl and Systems EngineeringControl theoryMathematicsIEEE Transactions on Fuzzy Systems
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On the robust design of unknown inputs Takagi-Sugeno observer

2012

This paper deals with the observer design for Takagi-Sugeno (T-S) fuzzy models subject to unknown inputs and disturbance affecting both states and outputs of the system. Sufficient conditions to design an unknown input T-S observer are given in Linear Matrix Inequalities (LMIs) terms. Relaxations are introduced by using intermediate variables. Numerical example is given to illustrate the effectiveness of the given result.

Robust designMathematical optimizationTakagi sugenoObserver (quantum physics)Computer Science::Systems and ControlControl theoryFuzzy setState observerLinear matrixRobust controlFuzzy logicMathematics2012 IEEE 51st IEEE Conference on Decision and Control (CDC)
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Robust fault detection design for unknown inputs Takagi-Sugeno models with parametric uncertainties and time-varying delays

2014

This paper deals with the design of robust fault detection system for Takagi-Sugeno (T-S) modes with parametric uncertainties and time-varying delay. An Unknown Input Observer (UIO) is designed such that the unknown inputs are thoroughly decoupled from residual signals while they show the maximum possible sensitivity to the faults and the minimum possible sensitivity to the external disturbances. Since the system under consideration is subjected to parametric uncertainties, the H ∞ model matching approach is used to design an optimal observer. Design procedure is given in terms of Linear Matrix Inequalities (LMIs). Finally, a numerical example is presented to show the effectiveness of the p…

Takagi sugenoControl theoryControl and Systems EngineeringObserver (special relativity)Linear matrixModel matchingResidualFault detection and isolationParametric statisticsMathematics
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Robust Observer Design for Takagi-Sugeno Fuzzy Systems with Mixed Neutral and Discrete Delays and Unknown Inputs

2012

Published version of an article from the journal: Mathematical Problems in Engineering. Also available from the publisher:http://dx.doi.org/10.1155/2012/635709 A robust observer design is proposed for Takagi-Sugeno fuzzy neutral models with unknown inputs. The model consists of a mixed neutral and discrete delay, and the disturbances are imposed on both state and output signals. Delay-dependent sufficient conditions for the design of an unknown input T-S observer with time delays are given in terms of linear matrix inequalities. Some relaxations are introduced by using intermediate variables. A numerical example is given to illustrate the effectiveness of the given results.

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Time delaysObserver (quantum physics)Article SubjectGeneral Mathematicslcsh:MathematicsVDP::Technology: 500General EngineeringFuzzy control systemLinear matrixlcsh:QA1-939Fuzzy logicTakagi sugenoControl theorylcsh:TA1-2040State (computer science)lcsh:Engineering (General). Civil engineering (General)MathematicsMathematical Problems in Engineering
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