Takagi-Sugeno (T-S) Fuzzy
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, ...this ...
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Master–slave synchronization of a class of fractional order Takagi–Sugeno fuzzy neural networks
... of fuzzy logic on the fractional-order neural ...of Takagi–Sugeno (T-S) fuzzy neural ...for T-S fuzzy delayed Hopfield neural networks in ...Adaptive ...
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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 ...a T-S Fuzzy Model, based on the T-S ...
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Evaluation of Takagi-Sugeno-Kang fuzzy method in entropy-based detection of DDoS attacks
... The Takagi-Sugeno-Kang (TSK) model is characterized by a high accuracy of modeling combined with a very fast learning ...generate fuzzy rules from a given set of input-output data and where the ...
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On line evolution of Takagi Sugeno fuzzy models
... 1994). Fuzzy rule-based models and especially Takagi-Sugeno (TS) fuzzy models have gained significant impetus due to their flexibility and computational efficiency (Takagi and ...
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An approach to online identification of Takagi Sugeno fuzzy models
... of Takagi–Sugeno (TS) type models is proposed in the ...Evolving Takagi–Sugeno model ...of fuzzy rules makes them a promising candidate for online modeling and control of complex ...
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On line identification of MIMO evolving Takagi Sugeno fuzzy models
... evolving Takagi-Sugeno models (eTS) has been further developed in this paper for the case of MIMO ...the fuzzy sets are defined as a vector, which gives more flexibility in the problem ...the ...
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Title: An Endowed Takagi-Sugeno-type Fuzzy Model for Classification Problems
... Abstract— Takagi-Sugeno-type fuzzy classification model is improved by proposing a new incremental learning ...proposed fuzzy model to learn with high generalization ...improved fuzzy ...
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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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Modeling of Coupled-Tank System Using Fuzzy Takagi-Sugeno Model
... model fuzzy Takagi-Sugeno. Algoritma fuzzy clustering Gustafson-Kessel digunakan untuk mengelompokkan data masukan-keluaran menjadi beberapa cluster berdasarkan kesamaan jarak suatu anggota ...
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Takagi Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems
... A Stable adaptive control using Lyapunov function has been proposed. Takagi–Sugeno fuzzy system is used for identification and to control nonlinear systems. The proposed stable adaptive control law ...
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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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New Approach of Stability for Time Delay Takagi Sugeno Fuzzy System Based on Fuzzy Weighting Dependent Lyapunov Functionals
... of Takagi-Sugeno fuzzy models with time delay. Using fuzzy weighting- dependent Lyapunov-Krasovskii functionals, new sufficient stability criteria are established in terms of Lin- ear Matrix ...
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Robust Fuzzy Control of Inverter Pendulum Robot via Time-Delay Affine T-S Fuzzy Models
... 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 has a constant ...
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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 ...
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Separation Principle for a Class of Takagi-Sugeno Descriptor Models
... 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 investigate the ...
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Global Exponential Stabilization for Some Impulsive T-S Fuzzy Systems with Uncertainties
... impulsive Takagi-Sugeno (T-S) fuzzy systems with ...the T-S fuzzy IF-THEN rules and then present a unified T-S impulsive fuzzy model with ...
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Exponential robust stability of T-S fuzzy stochastic p-Laplace PDEs under zero-boundary condition
... time-delay Takagi-Sugeno (T-S) fuzzy Markovian jumping partial differential equations (PDEs) with p-Laplace diffusion are investigated, and several criteria for asymptotical stability and ...
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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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Adaptive Tuned Controller Parameters for Non Linear Tanks
... The Takagi-Sugeno (T-S) fuzzy model [8] is mainly used to make the multi model from the interpolation of the linear ...In T-S model, general model and its equivalent PID ...
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