Mamdani and Takagi-Sugeno fuzzy controllers were prepared. The controllers were designed using Fuzzy Logic Toolbox. The membership functions and rules were used as design tools that give opportunity to model a control surface and controller properties. The control system of d.c. (direct current) motor drive with two feedback loops is considered. First loop is used for stabilization of armature ...

This paper presents a decentralized control problem for stabilizing the nonlinear large-scale descriptor (LSD) systems that use proportional-plus-derivative state (PD) feedback scheme. The have great focus on research because they can contain more physical characteristics than standard state-space systems. At first, each subsystem in LSD system be represented by Takagi-Sugeno (T-S) with interco...

Abstract: In this paper a novel kinematic model is proposed where the transformation between the robot posture and the system state is bijective. Two control approaches are proposed to solve the tracking problem. One approach is based on the Takagi-Sugeno fuzzy model where a parallel distributed compensation control is used. The alternative approach is to use Lyapunov stability analysis to cons...

Predictive control has been first developed to control Linear Time Invariant plants, described by ARIMAX models. The extension of this control strategy in the case when the behavior of the plant is non linear and modeled by a Takagi-Sugeno fuzzy model is considered here. This kind of nonlinear model is locally linear and the GPC technique can be extended as a parallel distributed controller.

A bst ract : Based on the T-S model ,the output regulation of nonlinear singularly perturbed systems via state feedback is dis2 cussed. It is shown that , under standard assumptions ,this problem is solvable if and only if certain linear matrix equations are solv2 able. Once these equations are solvable , the state feedback regulator can easily be constructed. Keywor ds : Nonlinear systems ; Ou...

Having attracted much attention in the past few years, predator-prey system provides a good mathematical model to present the correlation between predators and preys. This paper focuses on the robust stability of Lotka-Volterra predator-prey system with the fuzzy impulsive control model, and Takagi-Sugeno T-S fuzzy impulsive control model as well. Via the T-S model and the Lyapunov method, the ...

This paper presents an indirect adaptive fuzzy control scheme for a class of single-input-single-output (SISO) nonlinear systems. A Takagi-Sugeno (T-S) fuzzy model is employed as a dynamical model of the partially known nonlinear system. Both the structure and the parameters of the T-S model are identified on-line. A T-S model based feedback linearization controller (FLC) is designed and a Lyap...

this paper studies the consensus problem of nonlinear leader-following multi-agent systems (mas). to do this, the error dynamics between the leader agent and follower ones are described via a takagi-sugeno (ts) fuzzy model. if the obtained ts fuzzy model is stable, then all of the nonlinear agents reach consensus. the consensus problem is investigated based on the parameterized or fuzzy lyapuno...

In this paper, the Takagi–Sugeno (T–S) fuzzy model is used to express dynamic systems, and an on-line identification algorithm for its parameters and structures is presented. A new multivariable fuzzy generalized predictive control approach is put forward based on the identified fuzzy model by means of Clark’s principle of single-variable generalized predictive control, some of whose performanc...

For discrete-time Takagi–Sugeno (TS) fuzzy systems, we propose an state-feedback fuzzy controller associated with a fuzzy weighting-dependent Lyapunov function. The controller, which is designed via parameterized linear matrix inequalities (PLMIs), employs not only the current-time but also the one-step-past information on the time-varying fuzzy weighting functions. Appropriately selecting the ...