๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Adaptive Neural Control for a Class of Uncertain Nonlinear Systems in Pure-Feedback Form With Hysteresis Input

โœ Scribed by Beibei Ren; Ge, S.S.; Chun-Yi Su; Tong Heng Lee

Book ID
117938817
Publisher
IEEE
Year
2009
Tongue
English
Weight
299 KB
Volume
39
Category
Article
ISSN
1083-4419

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Adaptive fuzzy output feedback control f
Adaptive fuzzy output feedback control for a class of uncertain nonlinear systems with unknown backlash-like hysteresis
โœ Reza Shahnazi; Naser Pariz; Ali Vahidian Kamyad ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 912 KB

An output feedback controller is proposed for a class of uncertain nonlinear systems preceded by unknown backlash-like hysteresis, where the hysteresis is modeled by a differential equation. The unknown nonlinear functions are approximated by fuzzy systems based on universal approximation theorem, w

Observer-based adaptive fuzzy-neural con
Observer-based adaptive fuzzy-neural control for a class of uncertain nonlinear systems with unknown dead-zone input
โœ Yan-Jun Liu; Ning Zhou ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 569 KB

Based on the universal approximation property of the fuzzy-neural networks, an adaptive fuzzy-neural observer design algorithm is studied for a class of nonlinear SISO systems with both a completely unknown function and an unknown dead-zone input. The fuzzy-neural networks are used to approximate th