A new method called cuckoo search (CS) is used to extract and learn the Takagi-Sugeno (T-S) fuzzy model. In the proposed method, the particle or cuckoo of CS is formed by the structure of rules in terms of number and selected rules, the antecedent, and consequent parameters of the T-S fuzzy model. These parameters are learned simultaneously. The optimized T-S fuzzy model is validated by using t...

In many practical systems, stochastic behaviors usually occur and need to be considered in the controller design. To ensure system performance under effect of behaviors, may become bigger even beyond capacity applications. Therefore, actuator saturation problem also must The type-2 Takagi-Sugeno (T-S) fuzzy model can describe parameter uncertainties more completely than type-1 T-S for a class n...

This paper proposes a Takagi-Sugeno neuro-fuzzy inference system for direct torque and stator reactive power control applied to a doubly fed induction motor. The control variables (d-axis and q-axis rotor voltages) are determined through a control system composed by a neuro-fuzzy inference system and a first order Takagi-Sugeno fuzzy logic controller. Experimental results are presented to valid...

This paper describes a design of fuzzy controller for the input constrained discrete nonlinear passive systems via affine Takagi-Sugeno (T-S) fuzzy models. The stability conditions are derived based on Lyapunov and passive theories for the closed-loop system. The fuzzy controller design is accomplished by using the concept of Parallel Distribution Compensation (PDC). According to the proposed f...

This paper investigates the nano-positioning control for a piezoelectric actuator system with states time-delay via multiple Lyapunov functions. The multiple Lyapunov functions can relax stabilization conditions derived by the traditional single Lyapunov function. First, the Bouc-Wen equation establishes the mathematical model of a piezoelectric actuator system. To reduce the nonlinear hysteres...

The paper presents a fuzzy control based on parallel distributed fuzzy controllers for a heat exchanger. Each subcontroller is LQR designed and provides local optimal solutions. First, a Takagi-Sugeno fuzzy model is employed to represent a system. The stability of the system with the proposed fuzzy controllers is discussed. The simulation results are compared with classical PID control and illu...

 In almost all cases, the goal of the design of automatic control systems is to obtain the parameters of the controllers, which are described by differential equations. Takagi-Sugeno (T-S) fuzzy models can perfectly represent the nonlinear system. In general, the controller is artificially built and it is possible to update its initial conditions. In the design of optimal quadratic regulators,...

To controller design and stability analysis for nonlinear Networked Control Systems (NCSs) with timevarying delay, based on the Takagi–Sugeno (T-S) fuzzy model, a controller design scheme was proposed to achieve desired control performance for nonlinear NCSs via state feedback. According to the Lyapunov method, the sufficient condition for the existence of the control law was presented. Simulat...

This paper aims to present secure communication based on master and slave Lorenz chaotic systems. To apply a form of the linear synchronization control method, mathematical models systems were reformed into Takagi-Sugeno (T-S) fuzzy First, system was completely changed T-S model with two sublinear boundary membership functions. Second, newly adaptive disturbance observer (ADOB) proposed high co...

The main goal of this article is to design interval observers for continuous nonlinear switched systems. modes are described by the multimodel approach Takagi-Sugeno (T-S) fuzzy systems where premise variables depending on state vector that unmeasurable. In article, we propose T-S consider unmeasurable as bounded uncertainties under common assumptions additive disturbances well measurement nois...