An alternate approach to the analysis of a Takagi-Sugeno (T-S) fuzzy model is dealt with in this paper. The proposed approach is employed to search for eigenvalues of a T-S fuzzy model in any mixed weighting cases. This effective method is developed by a well-known Routh stability criterion as well as the root locus method to judge the stability of the nonlinear system approximated by a T-S fuz...

A novel optimal method is developed to improve the identification and estimation of Takagi-Sugeno (TS) fuzzy model. The idea comes from the fact that the main drawback of T-S model is that it can not be applied when the membership functions are overlapped by pairs. This limits the application of the T-S model because this type of membership function has been widely used in the stability and con...

Controller design strategy for Takagi-Sugeno (T-S) fuzzy systems is considered in the two-degree-of-freedom (TDOF) framework. Firstly, coprime factorization described in the state space formulas for T-S fuzzy systems is introduced based on a common Lyapunov function. Secondly, based on this coprime factorization, TDOF framework for LTI systems is extended to be applied to T-S fuzzy systems. Con...

The lack of effective failure correlation analysis is one main reason for the gap between reliability models and actual complex systems with mixed static dynamic characteristics. Takagi Sugeno (T-S) fault tree powerful tool to analyze logic relationship but it assumes probability event independent. Therefore, this paper proposes a multi-dimensional T-S method involving correlation. integrates d...

This paper deals with a new robust control design for autonomous vehicles. The goal is to perform lane-keeping under various constraints, mainly unknown curvature and lateral wind force. To reach this goal, formulation of Parallel Distributed Compensation (PDC) law given. quadratic Lyapunov stability stabilization conditions the discrete-time Takagi–Sugeno (T-S) model representing vehicles are ...

This paper investigates a fault-tolerant control problem for the dynamic positioning of unmanned marine vehicles based on Takagi–Sugeno (T-S) fuzzy model using an integral sliding mode scheme. First, T-S vehicle is established by taking yaw angle variable range into account. An scheme combined with H∞ performance index then developed to attenuate initial influence thruster faults and ocean dist...

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...

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 this paper, global robust stability of stochastic impulsive recurrent neural networks with time-varyingdelays which are represented by the Takagi-Sugeno (T-S) fuzzy models is considered. A novel Linear Matrix Inequality (LMI)-based stability criterion is obtained by using Lyapunov functional theory to guarantee the asymptotic stability of uncertain fuzzy stochastic impulsive recurrent neural...