In this paper, a unified fuzzy H∞ control approach is proposed to deal with the problem of synchronization of two different hyperchaotic systems. The T–S fuzzy models with a small number of fuzzy IF-THEN rules are employed to represent many typical hyperchaotic systems exactly. Based on the T–S fuzzy hyperchaotic models, a fuzzy H∞ synchronization controller is designed via parallel distributed...

This paper introduces the concept of parallel distributed computation (PDC) in neural networks, whereby a neural network distributes a number of computations over a network such that the separate computations are not localized in any part of the network. This form of computation is analogous to distributed storage of information as found in distributed associative memories. The paper describes ...

The recent rapid growth of the network computing applications area has been accelerated by a variety of parallel and distributed computing (PDC) software tools that simplify process management, inter-process communication, and program debugging in a PDC environment. This variety of software tools varies signi cantly in terms of the application domain targeted and corresponding functionality pro...

To research the chaotic motion problem of direct-drive permanent magnet synchronous generator (D-PMSG) for a wind turbine with uncertain parameters and fractional order characteristics, control strategy established upon fuzzy state feedback is proposed. Firstly, according to working mechanism D-PMSG, Lorenz nonlinear mathematical model by affine transformation time transformation. Secondly, sys...

The parallel-distributed compensation (PDC) together with Takagi-Sugeno-Kang (TSK) fuzzy modelling proved to be a modern model-based systematic approach for the design of fuzzy nonlinear controllers from stability and robustness requirements. The usual local linear controllers comprise a state feedback. This requires measurements of the state variables or an observer design. The aim of the pres...

Problem statement: The greenhouse has uncontrollable inputs that affect its climate, which arises the difficulty to regulate its inside temperature. The solution can be found using a multi-system approach like the Takagi-Sugeno System from which a design of a Parallel Distributed Compensation (PDC) controller is performed. However, a stability problem arises and was negotiatesd in general based...

This paper presents the relaxed nonquadratic stabilization conditions of discrete-time Takagi–Sugeno (T–S) fuzzy systems. To do this, we propose a new fuzzy controller and Lyapunov function by generalizing the nonparallel distributed compensation (non-PDC) control law and nonquadratic Lyapunov function, respectively. By exploiting Pólya’s theorem and algebraic properties of a homogeneous polyno...

This paper presents a new control technique based on uncertain fuzzy models for handling uncertainties in nonlinear dynamic systems. approach is applied the stabilization of multimachine power system subject to disturbances. In this case, state-feedback controller parallel distributed compensation (PDC) system, where design laws Lyapunov function method and stability conditions are solved using...

A new design scheme of stable adaptive fuzzy control for a class of nonlinear systems is proposed in this paper. The T-S fuzzy model is employed to represent the systems. First, the concept of the so-called parallel distributed compensation (PDC) and linear matrix inequality (LMI) approach are employed to design the state feedback controller without considering the error caused by fuzzy modelin...

In this article we investigate on robust mixed-sensitivity H∞ control for speed and torque control of inductional motor (IM). In order to simplify the design procedure the Takagi–Sugeno (T–S) fuzzy approach is introduced to solve the nonlinear model Problem. Loop-shaping methodology and Mixed-sensitivity problem are developed to formulate frequency-domain specifications. Then a regional pole-pl...