This paper investigates the problem of robust H_∞ output-feedback control for a class of
networked nonlinear systems with multiple packet dropouts. The nonlinear plant is …

In this study a neural-network (NN) based approach is developed which combines H∞
control performance with Tagagi–Sugeno (T–S) fuzzy control for the purpose of stabilization …

In some practical problems, for instance, the suppression of vibration in mechanical systems,
the state-derivative signals are easier to obtain than the state signals. Using Linear Matrix …

A novel approach is introduced to construct a fuzzy regression model when the data
available of independent and dependent variables are fuzzy numbers. The approach …

New analysis and control design conditions of discrete‐time fuzzy systems are proposed.
Using fuzzy Lyapunov′ s functions and introducing slack variables, less conservative …

The design of a model-free fuzzy power system stabiliser (PSS) lacks systematic stability
analysis and performance guarantees. This paper provides a step towards the design of a …

This paper deals with the problem of stability analysis of dynamic local model networks.
Established methods in this context are mainly based on Lyapunov stability theory and are …

A novel approach to control of general nonlinear system based on TS fuzzy model is
presented in this paper. Firstly, it is shown that a general nonlinear system can be …

The paper is concerned with an experience-consistent development of fuzzy rulebased
systems. This design of such fuzzy models involves some locally available data and then …

In this paper, the H 2 guaranteed cost control problem of uncertain continuous TS fuzzy
systems is investigated. We approach this problem by considering the multiple Lyapunov …