A new discrete-time sliding-mode control with neural identification

José De Jesús Rubio, Wen Yu, Andrés Ferreyra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2006 American Control Conference
Pages5413-5418
Number of pages6
StatePublished - 2006
Externally publishedYes
Event2006 American Control Conference - Minneapolis, MN, United States
Duration: 14 Jun 200616 Jun 2006

Publication series

NameProceedings of the American Control Conference
Volume2006
ISSN (Print)0743-1619

Conference

Conference2006 American Control Conference
Country/TerritoryUnited States
CityMinneapolis, MN
Period14/06/0616/06/06

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