6533b7d9fe1ef96bd126cac8
RESEARCH PRODUCT
Notice of Violation of IEEE Publication Principles: Robust Observer Design for Unknown Inputs Takagi–Sugeno Models
Hamid Reza KarimiMohammed Chadlisubject
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 theoryMathematicsdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-02-01 | IEEE Transactions on Fuzzy Systems |