Discrete-time sliding-mode control based on neural networks

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2 Citas (Scopus)

Resumen

In this paper, we present a new sliding mode controller for a class of unknown nonlinear discrete-time systems. We make the following two modifications: 1) The neural identifier which is used to estimate the unknown nonlinear system, applies new learning algorithms. The stability and non-zero properties are proved by dead-zone and projection technique. 2) We propose a new sliding surface and give a necessary condition to assure exponential decrease of the sliding surface. The time-varying gain in the sliding mode produces a low-chattering control signal. The closed-loop system with sliding mode controller and neural identifier is proved to be stable by Lyapunov method.

Idioma originalInglés
Título de la publicación alojadaAdvances in Neural Networks - ISNN 2006
Subtítulo de la publicación alojadaThird International Symposium on Neural Networks, ISNN 2006, Proceedings - Part II
EditorialSpringer Verlag
Páginas956-961
Número de páginas6
ISBN (versión impresa)3540344373, 9783540344377
DOI
EstadoPublicada - 2006
Publicado de forma externa
Evento3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks - Chengdu, China
Duración: 28 may. 20061 jun. 2006

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen3972 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks
País/TerritorioChina
CiudadChengdu
Período28/05/061/06/06

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