Synthesizing adaptive control systems for nonlinear singularity perturbed objects
type: Item
instance of: scholarly article
title: Synthesizing adaptive control systems for nonlinear singularity perturbed objects
zbMATH Open document ID: 0643.93036
published in: Automation and Remote Control
publication date: 1987-01-01T00:00:00Z
review text: The steepest descent method for synthesizing adaptive control algorithms is described for nonlinear objects whose differential equations contain small parameters. The conditions for stability and dissipation in the synthesized systems are found and allowable values of the small parameter are estimated.
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 34E15
Mathematics Subject Classification ID: 93B50
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 03C15
zbMATH DE Number: 4049496
zbMATH Keywords: steepest descent method
zbMATH Keywords: adaptive control algorithms
zbMATH Keywords: nonlinear objects
zbMATH Keywords: synthesized systems
author: Alexander Fradkov
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 4049496