Robust Neural Control of Discrete Time Uncertain Nonlinear Systems Using Sliding Mode Backpropagation Training Algorithm

This work deals with robust inverse neural control strategy for a class of single-input single-output (SISO) discrete-time nonlinear system affected by parametric uncertainties. According to the control scheme, in the first step, a direct neural model (DNM) is used to learn the behavior of the syste...

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Bibliographic Details

Published in:	Machine intelligence research (Print) Vol. 16; no. 2; pp. 213 - 225
Main Authors:	Zaidi, Imen, Chtourou, Mohamed, Djemel, Mohamed
Format:	Journal Article
Language:	English
Published:	Beijing Springer Nature B.V 01.04.2019
Subjects:	Algorithms Automation Back propagation Discrete time systems Neural networks Nonlinear control Nonlinear systems Robust control SISO (control systems) System effectiveness
ISSN:	2153-182X, 2153-1838
Online Access:	Get full text
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