This book systematically synthesizes research achievements in the field of fuzzy neural
networks in recent years. It also provides a comprehensive presentation of the …

In this paper, we address the design of an attitude controller that achieves stable, and robust
aggressive maneuverability for an unmanned helicopter. The controller proposed is in the …

Abstract The Takagi-Sugeno-Kang fuzzy system has wide applications across different
areas, eg, regression, classification and decision making, attributed to its high precision and …

In this paper, we address the design of a fuzzy flight controller that achieves stable and
robust “aggressive” maneuverability for an unmanned helicopter. The fuzzy flight controller …

A magnetically levitated (MagLev) vehicle prototype has independent levitation (attraction)
and propulsion dynamics. We focus on the levitation behavior to obtain precise gap control …

A neural-learning fuzzy technique is proposed for T–S fuzzy-model identification of model-
free physical systems. Further, an algorithm with a defined modelling index is proposed to …

The overall objective of the Wallenberg Laboratory for Information Technology and
Autonomous Systems (WITAS) at Linköping University is the development of an intelligent …

An affine TS fuzzy system is derived naturally from linearizing a nonlinear system or from
some data-driven identification techniques, for example, cluster-based algorithms or soft …

En este artículo se presenta un tutorial sobre análisis y diseño de sistemas lineales con
parámetros variantes (LPV) utilizando las desigualdades lineales matriciales (LMIs). Varias …

This work addresses the robust fuzzy control problem for discrete-time nonlinear systems in
the presence of sampling time uncertainties in a visual-servoing control scheme. The Takagi …