• No results found

Takagi-Sugeno type model

Evolving Clustering Algorithms And Their Application For Condition Monitoring, Diagnostics, & Prognostics

Evolving Clustering Algorithms And Their Application For Condition Monitoring, Diagnostics, & Prognostics

... identify Takagi-Sugeno (TS) type models consist of If-Then rules as its ...Evolving Takagi-Sugeno (ETS) model is capable of utilizing its evolvable multi-model structure ...

124

Estimation of Streamflow Using Takagi-Sugeno Fuzzy Rule-Based Model

Estimation of Streamflow Using Takagi-Sugeno Fuzzy Rule-Based Model

... Clustering is dividing data into subgroups based on their similar features. One of the first density based clustering algorithms is suggested by Chiu [7] which is the modified form of the Mountain Method. In Chiu’s ...

8

Sensitivity analysis of Takagi Sugeno Kang rainfall runoff fuzzy models

Sensitivity analysis of Takagi Sugeno Kang rainfall runoff fuzzy models

... the model parameters of the Takagi-Sugeno-Kang fuzzy rainfall-runoff models previously developed by the au- ...first type is intended to account for the effect of changes in catchment wetness ...

15

Evaluation of Takagi-Sugeno-Kang fuzzy method in entropy-based detection of DDoS attacks

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 ...TSK model was proposed as a systematic approach to generate fuzzy rules ...

24

Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach

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 ...Mamdani type fuzzy logic controller ...

9

Forecasting tourism demand by extracting fuzzy Takagi–Sugeno rules from trained SVMs

Forecasting tourism demand by extracting fuzzy Takagi–Sugeno rules from trained SVMs

... One type focused on error magnitude accuracy and the other aimed to improve understandability based on symbolic rules or knowledge ...to model tourist arrivals in China from 1985 to ...

13

Time series forecasting with interval type 2 intuitionistic fuzzy logic systems

Time series forecasting with interval type 2 intuitionistic fuzzy logic systems

... evolving Takagi-Sugeno (eTS) model and online sequential method for fuzzy systems based on online sequential ELM (OS-fuzzy-ELM) were also reported in [22] for tree ring time series ...

6

Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive

Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive

... TS type FLC bases intelligent controller is used, excellent control performance can be ...general model of a fuzzy system, which is composed of four major ...

9

An approach to online identification of Takagi Sugeno fuzzy models

An approach to online identification of Takagi Sugeno fuzzy models

... of TakagiSugeno (TS) type models is proposed in the ...TS model structure and parameters by combining supervised and unsupervised ...TS model con- tinually evolve by adding new rules ...

15

Sugeno Type Fuzzy Inference Model for Stock Price Prediction

Sugeno Type Fuzzy Inference Model for Stock Price Prediction

... a TakagiSugeno–Kang-type fuzzy rule-based system for forecasting Taiwan Stock Exchange price ...This model successfully forecasts stock price variation with accuracy close to ...

12

A New High-order Takagi-Sugeno Fuzzy Model Based on Deformed Linear Models

A New High-order Takagi-Sugeno Fuzzy Model Based on Deformed Linear Models

... fuzzy model is presented, where structural improvement and parameter tuning are performed ...a Takagi- Sugeno(TS)-type fuzzy ...TS model. In [9], an improved version of fuzzy ...

12

Title: An Endowed Takagi-Sugeno-type Fuzzy Model for Classification Problems

Title: An Endowed Takagi-Sugeno-type Fuzzy Model for Classification Problems

... A model is designed by data-driven machine learning approaches using training samples. Two different modes of learning scenario are batch mode and incremental mode. In a batch learning mode, memory is not ...

6

Robust fault detection for Takagi Sugeno discrete models: Application for a three tank system

Robust fault detection for Takagi Sugeno discrete models: Application for a three tank system

... known, model based fault detection has attracted several directions in research; among them we can cite the works of [1, 4, 9, 10, 12, ...techniques, Takagi-Sugeno (TS) fuzzy model has been ...

7

An Optimized Takagi-Sugeno Fuzzy-Based Satellite Attitude Controller by Two State Actuator

An Optimized Takagi-Sugeno Fuzzy-Based Satellite Attitude Controller by Two State Actuator

... Fig.7a shows the simulation based on Takagi-Sugeno model. As shown in the simulation, the rules represent the locus of the moving line. It means that the outputs can move in output space linearly. ...

11

Delay-Dependent Control and Stability Analysis for T–S Fuzzy Systems with a Sensor Delay

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 systems with a time-delay ...

5

Takagi Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems

Takagi Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems

... applied to design a Takagi-Sugeno type FLC for a biped robot walking problem. In this paper we discussed the fuzzy logic control system in Section 2, the proposed stability design approach using ...

7

Global Exponential Stabilization for Some Impulsive T-S Fuzzy Systems with Uncertainties

Global Exponential Stabilization for Some Impulsive T-S Fuzzy Systems with Uncertainties

... impulsive Takagi-Sugeno (T-S) fuzzy systems with ...fuzzy model with uncertainties for control. Based on the new model, a new control approach for the stability analysis is ...

6

Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS

Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS

... the model can be adjusted adaptively, which makes the model have high prediction accuracy, and the algorithm can be completed under the condition of less ...

20

Comparison of Two Fuzzy Skyhook Control Strategies Applied to an Active Suspension

Comparison of Two Fuzzy Skyhook Control Strategies Applied to an Active Suspension

... fuzzy type combined with some optimal control (in this case semi-active suspension with MR fluid) ...a Takagi- Sugeno fuzzy (TS-F) skyhook, Mandani fuzzy (M-F) ...

6

Adaptive Tuned Controller Parameters for Non Linear Tanks

Adaptive Tuned Controller Parameters for Non Linear Tanks

... multi model technique. The Takagi-Sugeno (T-S) fuzzy model [8] is mainly used to make the multi model from the interpolation of the linear ...T-S model, general model and ...

5

Show all 10000 documents...

Related subjects