Takagi–Sugeno (TS) fuzzy modeling technique, a black-box discrete-time approach for system identification, has widely been used to model behaviors of complex dynamic systems. Analytical structure of TS fuzzy models, however, is presently unknown, nor is its possible connection with the traditional models, causing at least two major problems. First, the fuzzy models can hardly be utilized to des...

This research work presents the wind energy conversion system with maximum power tracking system using an expert system like fuzzy logic. The extraction of the maximum possible power available wind energy is an important area of research among the speed sensorless MPPT control of wind area. This paper presents a power point tracking (MPPT) Technique for high performance wind turbine with induct...

This paper proposes a novel robust adaptive fuzzy controller for uncertain nonlinear systems with external disturbance. At first, the definitions of compressor and limiter with adjustable parameters are described, an adaptive fuzzy controller with updated laws of the parameters in compressor and estimate values of the fuzzy approximation accuracies is introduced. It is do not need special atten...

The output tracking control problem for fuzzy time -delay systems in presence of parameter perturbations has been solved via fuzzy T-S system models and variablestructure control approach. Following the reaching condition, a variable-structure fuzzy control method is proposed accordingly, when the time delay is known and available and when unknown and unavailable. The method guarantees the syst...

In this paper, a design of teleoperation for a remote vehicle with a master and slave system is proposed using PID and fuzzy logic control. The work presents a position tracking between operator and the remote vehicle. The proposed technique proves to be better for controlling the position of the system. This position control is demonstrated by simulation results with constant time delay. It is...

Adaptive fuzzy control has been a topic of active research over the last decade. However, most efforts have been directed toward one goal: achieving asymptotic stability and tracking. Little attention has been paid to the accuracy of the identified fuzzy models and to their transparency and interpretability whereas these should be the key aspects motivating the use of fuzzy models in adaptive c...