This paper discusses conditions on stability and stabilization of continuous T-S fuzzy systems. Stability analysis is derived via non-quadratic Lyapunov function technique and LMIs (Linear Matrix Inequalities) formulation to obtain an efficient solution. The nonquadratic Lyapunov function is built by inference of quadratic Lyapunov function of each local model. We show that stability condition ...

This paper presents robust H∞ fuzzy controllers for a class of T-S fuzzy bilinear systems (FBSs) with time-delay. First, the parallel distributed compensation (PDC) method is adopted to design a fuzzy controller which ensures the robust asymptotic stability of the FBS with time-delay and guarantees an H∞ norm bound constraint on disturbance attenuation. Based on the Schur complement and some va...

This paper presents a descriptor representation-based guaranteed cost design methodology for polynomial fuzzy systems. applies the representation presenting closed-loop system of model with parallel distributed compensation (PDC) based controller. By utility representation, control (GCC) analysis can utilize slack matrices obtaining less conservative results. The proposed GCC is presented as su...

By integrating the stabilizability condition, the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA), an integrative computational method is presented in this paper to design the stable and quadratic-optimal static output feedback parallel-distributed-compensation (PDC) controller such that (i) the TakagiSugeno (TS) fuzzy-model-based control system can be stabil...

this article presents a fuzzy robust mixed - sensitivity gain - scheduled h controller based on the loop -shaping methodology for a class of mimo uncertain nonlinear time - varying systems. in order to design this controller, the nonlinear parameter - dependent plant is first modeled as a set of linear subsystems by takagi and sugeno’s (t - s) fuzzy approach. both loop - shaping methodology and...

This article presents a fuzzy robust Mixed - Sensitivity Gain - Scheduled H controller based on the Loop -Shaping methodology for a class of MIMO uncertain nonlinear Time - Varying systems. In order to design this controller, the nonlinear parameter - dependent plant is first modeled as a set of linear subsystems by Takagi and Sugeno’s (T - S) fuzzy approach. Both Loop - Shaping methodology and...

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...

This paper discusses an observer-based fuzzy control problem for uncertain nonlinear singular systems under Multi-Performance Requirements (MPRs). The approach used in the is to model system using a Takagi–Sugeno (T-S) that can be analyzed linear theories. proposed scheme based on Parallel Distributed Compensation (PDC) and Proportional Derivative (PD) scheme. goal design controller achieves st...