A recurrent neural network for N-Stage optimal control problems

L. I.Zhi Liao

doi:10.1023/A:1018776323513

A recurrent neural network for N-Stage optimal control problems

L. I.Zhi Liao^*

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Journal article › peer-review

7 Citations (Scopus)

Abstract

A recurrent neural network is introduced for the N-stage optimal control problem. The new neural network is based on a reformulation of the original optimal control problem and the gradient method. The simulation results on two examples indicate that the new neural network is quite effective.

Original language	English
Pages (from-to)	195-200
Number of pages	6
Journal	Neural Processing Letters
Volume	10
Issue number	3
DOIs	https://doi.org/10.1023/A:1018776323513
Publication status	Published - 1999

Scopus Subject Areas

Software
General Neuroscience
Computer Networks and Communications
Artificial Intelligence

User-Defined Keywords

Gradient method
Optimal control
Recurrent neural network

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10.1023/A:1018776323513

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@article{eb2d3912ca2d461aab398252bc77da38,

title = "A recurrent neural network for N-Stage optimal control problems",

abstract = "A recurrent neural network is introduced for the N-stage optimal control problem. The new neural network is based on a reformulation of the original optimal control problem and the gradient method. The simulation results on two examples indicate that the new neural network is quite effective.",

keywords = "Gradient method, Optimal control, Recurrent neural network",

author = "Liao, {L. I.Zhi}",

note = "Funding Information: This research was supported in part by grants FRG/96–97/II–105 98/II–42 of Hong Kong Baptist University.",

year = "1999",

doi = "10.1023/A:1018776323513",

language = "English",

volume = "10",

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journal = "Neural Processing Letters",

issn = "1370-4621",

publisher = "Springer Netherlands",

number = "3",

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T1 - A recurrent neural network for N-Stage optimal control problems

AU - Liao, L. I.Zhi

N1 - Funding Information: This research was supported in part by grants FRG/96–97/II–105 98/II–42 of Hong Kong Baptist University.

PY - 1999

Y1 - 1999

N2 - A recurrent neural network is introduced for the N-stage optimal control problem. The new neural network is based on a reformulation of the original optimal control problem and the gradient method. The simulation results on two examples indicate that the new neural network is quite effective.

AB - A recurrent neural network is introduced for the N-stage optimal control problem. The new neural network is based on a reformulation of the original optimal control problem and the gradient method. The simulation results on two examples indicate that the new neural network is quite effective.

KW - Gradient method

KW - Optimal control

KW - Recurrent neural network

UR - http://www.scopus.com/inward/record.url?scp=0033353291&partnerID=8YFLogxK

U2 - 10.1023/A:1018776323513

DO - 10.1023/A:1018776323513

M3 - Journal article

AN - SCOPUS:0033353291

SN - 1370-4621

VL - 10

SP - 195

EP - 200

JO - Neural Processing Letters

JF - Neural Processing Letters

IS - 3

ER -

A recurrent neural network for N-Stage optimal control problems

Abstract

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