NDLI: Neural-network-based stable control by using harmonic analysis : Application to a nonlinear DC motor drive

Content Provider	Springer Nature Link
Author	Pérez, S. González Cañete, J. Fernández
Copyright Year	2004
Abstract	In this paper, we make an application of the harmonic balance (HB) analysis technique for studying oscillations in neural-network-based control systems where the closed-loop system can be transformed into a linear and a feedback nonlinear part (“Luré regulator problem”). The main goal of the present paper is to establish a test for the stability of limit cycles arising from a neural-network-control-based scheme operating over continuous nonlinear plants. The HB technique has been applied to the stability analysis of a quasilinearised nonlinear DC motor drive. The simple geometric interpretation of this technique contrasts other stability analysis techniques, such as Lyapunov, Input/Output, etc.
Starting Page	316
Ending Page	322
Page Count	7
File Format	PDF
ISSN	09410643
Journal	Neural Computing and Applications
Volume Number	13
Issue Number	4
e-ISSN	14333058
Language	English
Publisher	Springer-Verlag
Publisher Date	2004-11-06
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Harmonic balance Neurocontrol Stability analysis
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Software

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Neural-network-based stable control by using harmonic analysis : Application to a nonlinear DC motor drive