fuzzy Takagi-Sugeno model
Modeling of Coupled-Tank System Using Fuzzy Takagi-Sugeno Model
... Using Fuzzy Takagi-Sugeno ...using fuzzy Takagi-Sugeno model. The fuzzy clustering method of Gustafson- Kessel algorithm is used to classify input-output data into ...
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Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach
... design model employing a Takagi-Sugeno fuzzy logic control scheme for controlling some of the parameters such as speed, torque, flux, voltage etc of an ...IM. Fuzzy logic based ...
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Fuzzy modeling for steel making processes
... regression model, steel hardness distribution is predicted, and the required chemical composition is chosen by the exhaustion method based on this ...adequate model and the chemical composition deteriorates ...
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On line identification of MIMO evolving Takagi Sugeno fuzzy models
... The radius r is one of the few parameters of the algorithm, which needs to be pre-defined. Its value is an important leverage for a trade-off between the model complexity and precision [8]. As a general guidance, ...
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Computing air demand using the Takagi–Sugeno model for dam outlets
... TS model to specify the relationship between input and output and to determine the optimized distribution of ...TS model utilizes a combination of the least-square method and the back-propagation gradient ...
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Sensitivity analysis of Takagi Sugeno Kang rainfall runoff fuzzy models
... the Takagi-Sugeno-Kang (Takagi and Sugeno, 1985; Sugeno and Kang, 1988) rainfall-runoff fuzzy mod- els previously developed by Jacquin and Shamseldin ...(2006). ...
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Dissipative criteria for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations using delay partitioning approach
... the Takagi–Sugeno (T–S) fuzzy model can provide an effective approach for complex nonlinear systems in terms of fuzzy sets and linear input–output variables [21, ...T–S fuzzy ...
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A New High-order Takagi-Sugeno Fuzzy Model Based on Deformed Linear Models
... with fuzzy logic. The result is a high-order Takagi- Sugeno-Kang fuzzy model where sub-models are derived from multiple ...TS fuzzy models, unlike first-order ones, can supply ...
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Exponential robust stability of T-S fuzzy stochastic p-Laplace PDEs under zero-boundary condition
... delayed Takagi-Sugeno (T-S) fuzzy Markovian jumping p-Laplace partial differential equations (PDEs) which owns a wide range of physics and engineering backgrounds (see, ...jumping fuzzy ...
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On the Fuzzy Regulation of Non Linear Discrete-time Systems Affine in the Control
... mathematical model of the process to be controlled, exploited the one hand for the synthesis of the controller and the other for the simulation of the performance obtained in closed loop ...and fuzzy ...
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Global Exponential Stabilization for Some Impulsive T-S Fuzzy Systems with Uncertainties
... the Takagi-Sugeno (T-S) model [1] have attracted rapidly growing interest in recent ...T-S fuzzy systems are nonlinear systems described by a set of IF-THEN ...T-S model can give an ...
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Time series forecasting with interval type 2 intuitionistic fuzzy logic systems
... evolving fuzzy optimally pruned extreme learning machine (eF-OP-ELM), was reported for analysing this time ...evolving Takagi-Sugeno (eTS) model and online sequential method for fuzzy ...
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Takagi Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems
... A Fuzzy based mathematical model of a controller was described and designed with incorporation of Fuzzy Logic Controller (FLC) ...of fuzzy systems, [5] expressed as a series expansion of basis ...
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Evaluation of Takagi-Sugeno-Kang fuzzy method in entropy-based detection of DDoS attacks
... A generator input vector is created in the TSK-FS model. The input vector consists of 10 consecutive entropy values from the subintervals within a single sliding window, plus the attack value for the time of the ...
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Robust Fuzzy Control of Inverter Pendulum Robot via Time-Delay Affine T-S Fuzzy Models
... robust fuzzy control method, combining affine Takagi–Sugeno (T–S) fuzzy models and H performance constraints, for stability analysis and controller design of an inverted pendulum robot to ...
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Fuzzy synchronization of the 3D chaotic systems using belbic
... the fuzzy model- based designs to stability and synchronization for chaotic systems have been carried out based on Takagi–Sugeno (T–S) fuzzy models (Park et ...a fuzzy ...
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Development of position tracking of BLDC motor using adaptive fuzzy logic controller
... Takagi Sugeno Kang method was introduced in 1985 and it is similar to the Mamdani method in many ...of fuzzy inference processes which are fuzzifying the inputs and applying the fuzzy operator ...
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Estimation of Streamflow Using Takagi-Sugeno Fuzzy Rule-Based Model
... RB model is developed to estimate streamflow at Guvenc Basin, Ankara and the effect of seasonality and the number of fuzzy rules on the model’s performance are ...RB model with three rules ...the ...
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Title: An Endowed Takagi-Sugeno-type Fuzzy Model for Classification Problems
... the set O represents the non-SVs. In an online incremental SVM, one training sample is trained at a time and the existing optimal solution helps to build a new solution. When a new training sample is available, the old ...
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On line evolution of Takagi Sugeno fuzzy models
... the fuzzy separation of the data space into local regions (Takagi and Sugeno, ...a fuzzy weighted combination of locally valid linear ...
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