Neural regulator design

Neural regulator design

Design of a neural-net-based regulator for nonlinear plants is considered. Both state and output feedback regulators with deterministic and stochastic disturbances have been investigated. A Multilayered Feedforward Neural Network (MFNN) has been employed as the nonlinear controller. The training of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Neural networks 1998-12, Vol.11 (9), p.1695-1709
Hauptverfasser: Ahmed, M.S., Al-Dajani, M.A.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Control system
Electric, optical and optoelectronic circuits
Electronics
Exact sciences and technology
Gradient scheme
Neural network
Neural networks
Nonlinear systems
Optimization
Regulation
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Design of a neural-net-based regulator for nonlinear plants is considered. Both state and output feedback regulators with deterministic and stochastic disturbances have been investigated. A Multilayered Feedforward Neural Network (MFNN) has been employed as the nonlinear controller. The training of the MFNN utilizes the recently developed concept of Block Partial Derivatives (BPDs).
ISSN:0893-6080
1879-2782
DOI:10.1016/S0893-6080(98)00097-5