T-S fuzzy systems
Delay-partitioning approach to stability criteria for T-S fuzzy systems with time-varying delay
... (T-S) fuzzy model was first introduced in [1], then much effort has been made in the stability analysis and control synthesis of such a model during the past two decades, due to the fact that it can ...
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Improved results on perturbed T S fuzzy systems with mixed delays using geometric sequence division related partitioning methods
... dynamic systems which commonly appears in some en- gineering applications, such as logistics, traffic communication, and biological ...of systems with distributed delays ...perturbed T-S ...
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Delay-Dependent Control and Stability Analysis for T–S Fuzzy Systems with a Sensor Delay
... for T-S fuzzy systems with a sensor ...nonlinear systems with a sensor delay based on T-S fuzzy model ...of fuzzy weighting functions during the process of ...
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Fault detection for switched T S fuzzy systems in finite frequency domain
... switched T-S fuzzy systems with actuator ...and S-procedure, a new finite frequency method of fault detection for switched T-S fuzzy systems is ...
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Adaptive fault estimation for T S fuzzy systems with unmeasurable premise variables
... that T-S fuzzy models are capable of approximating nonlinear behaviors of smooth systems, which is achieved by blending a set of local linear models through nonlinear membership functions ...
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Global Exponential Stabilization for Some Impulsive T-S Fuzzy Systems with Uncertainties
... (T-S) fuzzy systems with ...the T-S fuzzy IF-THEN rules and then present a unified T-S impulsive fuzzy model with uncertainties for ...impulsive ...
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Maximum Power Point Tracking for Photovoltaic Panel based on T S Fuzzy Systems
... 4.2 MPPT algorithm based on T-S Fuzzy logic The optimal duty cycle which allows the converter to transfer maximum power from the PV array panel to the load is given by equation 12.. We k[r] ...
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A New Approach to Stabilization of Continuous- Time T-S Fuzzy Control Systems via Fuzzy Lyapunov Function
... of T-S fuzzy model based systems in [26]-[35], and gives less conservative results as compared to the results based on ...continuous-time T-S fuzzy systems appears ...
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Robust Fuzzy Control of Inverter Pendulum Robot via Time-Delay Affine T-S Fuzzy Models
... nonlinear systems by using Takagi–Sugeno (T–S) fuzzy system models ...affine T–S fuzzy system means the fuzzy system of which consequent part is affined and which ...
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Observer design for a class of T S fuzzy singular systems
... nonlinear systems can be sum- marized as follows by several methods: the class of Lyapunov function method [, ], differential geometric methods for designing [, ], the extended Luenberger observer method ...
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A T S Fuzzy Model Based Adaptive Exponential Synchronization Method for Uncertain Delayed Chaotic Systems: An LMI Approach
... delayed systems are, therefore, both of theoretical and practical ...chaotic systems 12, ...chaotic systems is also investigated by several researchers ...
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Control Design for Interval Type-2 Fuzzy Systems Under Imperfect Premise Matching
... control systems under imperfect premise ...IT2 fuzzy controller shares the same premise membership functions and the same number of rules as those of the IT2 T-S fuzzy ...IT2 ...
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Automatic T-S fuzzy model with application to designing predictive controller
... the fuzzy sets in the antecedents. In the traditional T-S fuzzy model, the expert knowledge is used to define linguistically the fuzzy sets, which leads to the drawbacks of subjectivity ...
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Research on the pH Neutralization Process Based on the T-S Fuzzy Model
... identified. Fuzzy systems are suitable to describe the dynamic characteristics of nonlinear ...of T-S model is a linear expression, so it is suitable for control design [15], and the linear ...
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Separation Principle for a Class of Takagi-Sugeno Descriptor Models
... descriptor systems described by Takagi-Sugeno (T-S) fuzzy structure [1, 2] where the premise variables are ...the fuzzy observer in explicit structure given in [4], a new procedure to ...
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Fuzzy synchronization of the 3D chaotic systems using belbic
... chaotic systems (Sara Dadras and Hamid Reza Momeni, ...the T–S fuzzy models will be presented for a new 3D chaotic system (Sara Dadras and Hamid Reza Momeni, ...new fuzzy chaotic system ...
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Reliability Analysis of Automatic Transmission Based on T S Fuzzy Fault Tree
... the fuzzy theory into the fault tree analysis for the first time in 1983, thus solving the ambiguity and uncertainty of the failure rate of the basic event in the fault tree (using fuzzy multiplication ...
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Delay dependent exponential \({H {\infty}}\) filter for uncertain nonlinear singular time delay systems through T S fuzzy model
... delay systems was studied through Markovian approach in []. Singular systems have extensive applications in electrical circuits, power systems, eco- nomics and other areas, so the filtering of a ...
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EEG Signals Classification by S-shaped Radial Implicative Fuzzy Systems
... conjunctive systems combina- tion is made by a t-norm, typically by the same which is emloyed for building the ...implicative systems the combination is made by genuine fuzzy implications → ...
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[14] . The T-S fuzzy model consists of
... (T-S) fuzzy model is an effective tool used to approximate the behaviors of uncertain nonlinear systems on the basis of precise ...design T-S fuzzy model when the ...
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