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[PDF] Top 20 Automatic T-S fuzzy model with application to designing predictive controller

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Automatic T-S fuzzy model with application to designing predictive controller

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 ... See full document

26

MPC Based Fuzzy Logic Controller for Non Linear Process

MPC Based Fuzzy Logic Controller for Non Linear Process

... P+I+D controller. Hence an attempt is made in this paper as Model Predictive Control algorithm based fuzzy logic controller design for conical tank level ...process model was ... See full document

9

ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL 
CLIMBING APPROACH

ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH

... of designing state feedback robust model predictive controller with input constraints for a class of time-delay singular systems with polytopic ...robust predictive controller ... See full document

5

Type 2 Fuzzy Logic Controllers Based Genetic Algorithm for the Position Control of DC Motor

Type 2 Fuzzy Logic Controllers Based Genetic Algorithm for the Position Control of DC Motor

... The simulated results show that, using a type-2 FLC in real world applications can be a good option since this type of system is a more suitable system to manage high levels of uncertainty, as we can see in the results ... See full document

6

A Predictive Controler for Object Tracking of a Mobile Robot

A Predictive Controler for Object Tracking of a Mobile Robot

... a predictive controller for real-time target tracking in mobile robotics is proposed based on adaptive/evolving Takagi-Sugeno fuzzy systems, ...The predictive controller consists of two ... See full document

10

Designing an efficient fuzzy controller for 
		Coronary Heart Disease

Designing an efficient fuzzy controller for Coronary Heart Disease

... of fuzzy logic started making their appearance in Japan and ...first application was on the high speed train in Sendai developed by people of Japan which lead to many improvements in their precision and ... See full document

8

Load Shedding Control of Wind Turbine Based on Model Predictive Control Algorithm

Load Shedding Control of Wind Turbine Based on Model Predictive Control Algorithm

... system model predictive control application [9-11], this paper designs a composite wind turbine model predictive controller and compares it with the traditional PI ... See full document

10

ACTIVE VIBRATION CONTROL OF A FLEXIBLE MANIPULATOR USING MODEL PREDICTIVE CONTROL AND KALMAN OPTIMAL FILTERING

ACTIVE VIBRATION CONTROL OF A FLEXIBLE MANIPULATOR USING MODEL PREDICTIVE CONTROL AND KALMAN OPTIMAL FILTERING

... an application of the multivariable Model-based Predictive Controller associated to a Kalman filter to damp the mechanical vibrations of a flexible one-link manipulator using state variables ... See full document

13

Laguerre-based adaptive MPC for attitude stabilization of quad-rotor

Laguerre-based adaptive MPC for attitude stabilization of quad-rotor

... SISO model of a quad-rotor, which differs from models presented in [1] by including actuator (or possibly sensor) ...This model is then used by a real-time feasible Laguerre-based MPC control law, able to ... See full document

7

Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology and Rule Based Model
Satish D Mali & Pravin P Kalyankar

Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology and Rule Based Model Satish D Mali & Pravin P Kalyankar

... Recent increase in the use of video-based applications has revealed the need for extracting the content in videos. Raw data and low-level features alone are not sufficient to fulfill the user’s needs; that is, a deeper ... See full document

5

Reliability Analysis of Automatic Transmission Based on T S Fuzzy Fault Tree

Reliability Analysis of Automatic Transmission Based on T S Fuzzy Fault Tree

... the application of fault tree analysis in hydraulic system fault ...the fuzzy theory into the fault tree analysis for the first time in 1983, thus solving the ambiguity and uncertainty of the failure rate ... See full document

13

LOAD FREQUENCY CONTROL OF HYBRID POWER SYSTEM USING INTELLIGENT CONTROLLERS

LOAD FREQUENCY CONTROL OF HYBRID POWER SYSTEM USING INTELLIGENT CONTROLLERS

... the model of hybrid power system is ...of Automatic Generation Control ...precise controller to keep the frequency at desired ...called Fuzzy PI and Neuro- Fuzzy approach. The advantage ... See full document

13

Robust Fuzzy Gain-Scheduled Control of the 3-Phase IPMSM

Robust Fuzzy Gain-Scheduled Control of the 3-Phase IPMSM

... position controller design with input - output feedback linearization technique for an IPMSM control ...the automatic disturbances rejection controller for precise motion control for a PMSM ...on ... See full document

13

Comparison of Conventional Controller with Model Predictive Controller for CSTR Process

Comparison of Conventional Controller with Model Predictive Controller for CSTR Process

... Derivative) controller in industries for various process control ...PID controller which yields an overshoot and long settling time, which exacerbate the ...of controller, known as MPC (Model ... See full document

8

Approach to Fuzzy Controller Design of an Inverted Pendulum Controlled by a DC Motor

Approach to Fuzzy Controller Design of an Inverted Pendulum Controlled by a DC Motor

... using fuzzy logic. The fuzzy control system have been proven to be the superior and most cost effective when compare with conventional control especially in controlling complex nonlinear system with ... See full document

5

Design of Fuzzy controller and supervisor for Load Frequency control of Micro Hydro Power Plant

Design of Fuzzy controller and supervisor for Load Frequency control of Micro Hydro Power Plant

... PLANT MODEL MHPP is a non-linear, non-stationary multivariable system whose characteristics vary significantly with the unpredictable load on it and this presents a difficulty in designing efficient and ... See full document

5

Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application

Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application

... Testing of control quality of selected nonlinear system with RBFN based neural controller is realized in environment of MATLAB. For the purpose of testing, we used simulation models of nonlinear dynamic systems ... See full document

6

DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING 
RISKS OF IT SERVICE PROJECTS

DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING RISKS OF IT SERVICE PROJECTS

... a predictive model to diagnosis and associated with the accuracy results with SVM, an NN, a rough set (Rosetta), and logistic ...set model is accurate than the ...affinity predictive ... See full document

10

Torque ripple minimization of switched reluctance motor using model predictive controller technique

Torque ripple minimization of switched reluctance motor using model predictive controller technique

... Variance Controller, Fuzzy Logic and Neural Networks, Model Predictive Control ...PID controller is compensating system variations efficiently by appropriate ...drift. Model ... See full document

6

Takagi-Sugeno Fuzzy Control for Nonlinear Systems

Takagi-Sugeno Fuzzy Control for Nonlinear Systems

... of controller for nonlinear ...on fuzzy logic ...modelling. Fuzzy logic, introduced by Zadeh, has been successfully applied to many engineering fields, especially in the area of control ...on ... See full document

10

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