This paper deals with the non-fragile memory filtering issue of TS fuzzy delayed neural
networks with randomly occurring time-varying parameters uncertainties and variable …

In this paper, a novel approach to fuzzy sampled-data control of chaotic systems is
presented by using a time-dependent Lyapunov functional. The advantage of the new …

This article focuses on the stability and stabilization analysis of large-scale multiarea
interconnected power systems (LSMAIPSs) involving the wind farm through the Lyapunov …

This paper investigates the problem of asynchronous control for nonlinear Markov jump
systems on the basis of fuzzy quantized sampled-data controller. The modes of the designed …

Adaptive control algorithms are widely used in many technical fields like aeronautics and
robotics for controlling systems whose characteristics vary with time or are uncertain. In the …

This paper presents a robust guaranteed cost sampled-data fuzzy control (GCSDFC) design
for Takagi-Sugeno fuzzy systems with parametric uncertainties and time-delay. Initially, a …

Polytopic quasi–linear parameter‐varying (quasi‐LPV) models of nonlinear processes allow
the usage linear matrix inequalities (LMIs) to guarantee some performance goal on them (in …

This paper proposes a new procedure for discretizing nonlinear systems described by
Takagi-Sugeno fuzzy models. The discretization procedure consists of obtaining a linear …

This article studies H∞ optimization issue of Takagi-Sugeno (TS) fuzzy systems with an
improved transform matching membership functions (MFs) approach. Different from existing …

Communications load in a wireless channel can saturate the network when the wireless link
between stations is weak. This paper shows that, by using a state-differential event based …