Takagi-Sugeno fuzzy controller
Comparaison du contrôleur flou Takagi-Sugeno et de la commande "P and O" Comparison of Takagi-Sugeno fuzzy controller and the command "P and O" for extracting the maximum power from a photovoltaic system
... Dans ce travail, nous présentons une technique robuste permettant la poursuite du PPM du système à panneau PV, grâce au contrôleur à base de logique floue (CLF) de type Takagi-Sugeno ("Flou TS"). ...
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Master–slave synchronization of a class of fractional order Takagi–Sugeno fuzzy neural networks
... In this section, we discuss the master–slave synchronization of fractional-order T-S fuzzy delayed neural networks. The aim is to achieve the synchronization of the T-S fuzzy master–slave systems by using a ...
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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 ...
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Takagi Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems
... This paper proposes a novel idea for stable direct adaptive control of nonlinear systems using Lyapunov function with fuzzy approach. Stable direct adaptive control law consists of an ideal control, and a sliding ...
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Separation Principle for a Class of Takagi-Sugeno Descriptor Models
... The outline of the paper is structured as follows. In Section 2, the considered class of TSDMs with unmeasurable premise variables is presented. In Section 3, the main result about fuzzy observer-based ...
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On the Fuzzy Regulation of Non Linear Discrete-time Systems Affine in the Control
... the controller and the other for the simulation of the performance obtained in closed loop ...and fuzzy control ...the fuzzy input-output representation of discrete nonlinear systems in the ...
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Takagi-Sugeno Fuzzy Control for Nonlinear Systems
... the fuzzy average of local linear models which are popularly known as Takagi-Sugeno (T-S) Fuzzy ...T-S Fuzzy Model, based on the T-S fuzzy model design a controller for ...
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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
... 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 controllers were considered and a ...
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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 model-based ...
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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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Comparison of Two Fuzzy Skyhook Control Strategies Applied to an Active Suspension
... Mandani fuzzy skyhook and the second control technique is a Takagi-Sugeno fuzzy skyhook controller, in both controllers the inputs are the relative velocity between the two masses and ...
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Delay-Dependent Control and Stability Analysis for T–S Fuzzy Systems with a Sensor Delay
... Complex nonlinear systems can be represented by a Takagi-Sugeno (T-S) fuzzy system, effectively [1]. There have appeared some stability analysis and controller design of T-S fuzzy ...
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Online Full Text
... TSK-type fuzzy network control (ATFNC) system for synchronization of a coupled nonlinear chaotic ...neural controller and a fuzzy compensator. The neural controller uses a ...
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Evaluation of Takagi-Sugeno-Kang fuzzy method in entropy-based detection of DDoS attacks
... This paper presents an evaluation of a combined method for the detection of outbound DDoS attacks based on entropy with the Takagi-Sugeno-Kang fuzzy neural network detector. The CUSUM method is used ...
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A New High-order Takagi-Sugeno Fuzzy Model Based on Deformed Linear Models
... Network-based Fuzzy Inference System (ANFIS) [2] is a known instance, where parameters, in a five layer network structure, are adapted through back-propagation and may also be combined with a least squares ...TS ...
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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 ...
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Design Of Sugeno Fuzzy Logic Controller For Resistance Furnace
... L.A Zadeh gave a mathematical model for expressing a linguistic value with a “fuzzy set” and using a “membership function” to determine how much a piece belongs to a set. Along with the mathematical operations on ...
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Robust stability of probabilistic delays fuzzy stochastic p Laplace dynamic equations
... interesting, which may call for some new mathematical methods, and even new math- ematical theories. Under the Neumann boundary condition, the problem of the role of the nonlinear p-Laplace (p > ) item in the ...
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Dissipative criteria for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations using delay partitioning approach
... In this section, we establish a dissipativity condition for fuzzy impulsive Markovian jump- ing neural networks (7) with both discrete and distributed time delays. Under a Lyapunov functional and delay ...
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Exponential robust stability of T-S fuzzy stochastic p-Laplace PDEs under zero-boundary condition
... Remark . System (.) encompasses a wide range of physics and engineering back- grounds so that we can apply our Theorem . to the case of Cohen-Grossberg neural net- works. We consider the following T-S fuzzy ...
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