This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...

FLAS (Fuzzy Linear Adaptive System) is a self-organizing fuzzy system for non-linear function identification, that uses a learning method based on clustering to generate fuzzy rules and tune their parameters. This method reduces the influence of pattern presentation order permits building prototypes with physical meaning, allows measuring the importance of each variable, and therefore reduces t...

Abstract: The fuzzy and neuro-fuzzy modeling approaches represent extremely powerful tool for non-linear dynamic systems approximation. By using this tool it is possible to overcome difficulties in conventional techniques for dealing with nonlinearity. This paper presents the design of the diagnostic system exploits these fuzzy modeling approximation abilities together with fault detection and ...

In the paper an interesting application of fuzzy approach is presented. The problem of stability analysis of uncertain linear systems with coefficients described by fuzzy functions is studied. Each coefficient is considered as a variable interval parametrized by the degree of confidence in validity of the corresponding model. The higher the confidence level is the smaller is the interval in whi...

Neuro-Fuzzy Modeling has been applied in a wide variety of fields such as Decision Making, Engineering and Management Sciences etc. In particular, applications of this Modeling technique in Decision Making by involving complex Systems of Linear Algebraic Equations have remarkable significance. In this Paper, we present Polak-Ribiere Conjugate Gradient based Neural Network with Fuzzy rules to so...

In this paper, an observer-based decentralized fuzzy controller is designed for discrete-time interconnected fuzzy systems. Based on the fuzzy subsystem of the interconnected fuzzy system, the observer-based decentralized fuzzy controller is considered. By using the fuzzy subsystem and the observer-based decentralized fuzzy controller, the closed-loop system is obtained. From the closed-loop sy...

An interactive fuzzy multiple objective optimization method was proposed for solving fuzzy multiple objective linear programming problems where fuzzy parameters in both objective functions and constraints and fuzzy goals of objectives can be in any form of membership function. Based on the method, in this paper, a fuzzy multiple objective decision support system prototype is developed. A detail...

Greenhouses are building structures that allow the creation of an indoor microclimate for crop development, protecting it from adverse outdoor conditions. Moreover this microclimate can be modified by artificial actuations such as heating, ventilation in order to provide the best environmental conditions. In this sense, several researchers used the optimal control and predictive control to deve...

Abstract: In this paper, fully fuzzy linear systems in the form ° ° % A X = b ⊗ (FFLS) will be discussed, where ° n n A × is a fuzzy matrix, x and b are (n×1) fuzzy vector. Transforming fully fuzzy linear system in to two crisp linear systems and using the Jacobi iterative and Adomian Decomposition Methods (ADM) a FFLS will be solved.We will show that to find a solution for a (FFLS) our method ...