This paper provides a review about the concept of convex systems based on Takagi-
Sugeno, linear parameter varying (LPV) and quasi-LPV modeling. These paradigms are …

Presents a design methodology for stabilization of a class of nonlinear systems. First, the
authors represent a nonlinear plant with a Takagi-Sugeno fuzzy model. Then a model-based …

This paper presents new relaxed stability conditions and LMI-(linear matrix inequality) based
designs for both continuous and discrete fuzzy control systems. They are applied to design …

Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling
of partly-known nonlinear systems. Fuzzy models can effectively integrate information from …

Hydraulic Servo-systems details the basic concepts of many recent developments of
nonlinear identification and nonlinear control and their application to hydraulic servo …

This paper addresses stability analysis and stabilization for Takagi-Sugeno fuzzy systems
via a so-called fuzzy Lyapunov function which is a multiple Lyapunov function. The fuzzy …

This paper presents stability analysis for a class of uncertain nonlinear systems and a
method for designing robust fuzzy controllers to stabilize the uncertain nonlinear systems …

This study introduces a guaranteed cost control method for nonlinear systems with time-
delays which can be represented by Takagi-Sugeno (TS) fuzzy models with time-delays …

Tensor Product Model Transformation in Polytopic Model-Based Control offers a new
perspective of control system design. Instead of relying solely on the formulation of more …

Addresses the issue of stability of a fuzzy system described by fuzzy rules with singleton
consequents. It first presents two canonical forms of a fuzzy system: a parametric expression …