This paper presents a practical approach of nonlinear control of the F16 aircraft via multiple nonlinear model generation for any trimmed equilibriums. The approach is realized using the framework of a Takagi-Sugeno (T-S) fuzzy modeling and control. The nonlinear control algorithm consists of three parts. The first part determines a trimmed equilibrium of the F16 dynamics for a given desired fl...

Robust control techniques for power converters are becoming more attractive because they can meet with most demanding goals like uncertainties. In this sense, the Takagi-Sugeno (T-S) fuzzy controller based on linear matrix inequalities (LMI) is a by intervals that has been relatively unexplored output-voltage regulation problem in switching converters. Through technique it possible to minimize ...

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...

The main feature of a Takagi-Sugeno (T-S) fuzzy model is to express the local dynamics of each fuzzy implication (rule) by a linear system model. The overall fuzzy model of the system is achieved by fuzzy “blending” of the linear system models. Parallel or feedback connections of T-S fuzzy systems which preserve the properties of each system are possible [1]. Thus a simple and straightforward a...

This paper deals with control design and stability analysis for a class of nonlinear systems with system uncertainties as well as input constraint when using the T-S fuzzy model. As a result, it achieves an adaptive fuzzy controller, which consists of two components: one is corresponding with the regular state feedback controller based on the LMI approach in order to deal with the known part in...