Non-linear optimization: Artificial neural network solution techniques applied to the optimum linear feedback control of linear discrete-time dynamic systems

G. P.K. Economou; G. C. Anagnostopoulos; D. T. Theodosiou; T. Stouraitis; C. E. Goutis

doi:10.1109/EURMIC.1994.390348

Non-linear optimization: Artificial neural network solution techniques applied to the optimum linear feedback control of linear discrete-time dynamic systems

G. P.K. Economou, G. C. Anagnostopoulos, D. T. Theodosiou, T. Stouraitis, C. E. Goutis

Electrical Engineering

University of Patras

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

A new methodology for the solution of Constrained Non-Linear Optimization Problems is proposed. Originally sprang out of the necessity for obtaining the best linear law to control Linear Discrete-Time Dynamic Systems (LDTDS), it can be used in every Optimization Problem of both Linear and Non-Linear Cost Functions and Constraints. An appropriate procedure for handling both Equality and Inequality Constraints is offered along with its application on real-world problems. A powerful Artificial Neural Network (ANN) is implemented to fully exploit the proposed technique and experimental results are provided. The chaotic behaviour of the latter is also discussed.

Original language	British English
Title of host publication	Proceedings of the 20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994
Pages	637-643
Number of pages	7
DOIs	https://doi.org/10.1109/EURMIC.1994.390348
State	Published - 1994
Event	20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994 - Liverpool, United Kingdom Duration: 8 Sep 1994 → 8 Sep 1994

Publication series

Name	Conference Proceedings of the EUROMICRO
ISSN (Print)	1089-6503

Conference

Conference	20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994
Country/Territory	United Kingdom
City	Liverpool
Period	8/09/94 → 8/09/94

Keywords

ANNs
Chaos
Lagrange Multipliers
LDTDS
Non-Linear Constrained Optimization Problem

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10.1109/EURMIC.1994.390348

Cite this

Economou, G. P. K., Anagnostopoulos, G. C., Theodosiou, D. T., Stouraitis, T., & Goutis, C. E. (1994). Non-linear optimization: Artificial neural network solution techniques applied to the optimum linear feedback control of linear discrete-time dynamic systems. In Proceedings of the 20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994 (pp. 637-643). Article 390348 (Conference Proceedings of the EUROMICRO). https://doi.org/10.1109/EURMIC.1994.390348

Economou, G. P.K. ; Anagnostopoulos, G. C. ; Theodosiou, D. T. et al. / Non-linear optimization : Artificial neural network solution techniques applied to the optimum linear feedback control of linear discrete-time dynamic systems. Proceedings of the 20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994. 1994. pp. 637-643 (Conference Proceedings of the EUROMICRO).

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abstract = "A new methodology for the solution of Constrained Non-Linear Optimization Problems is proposed. Originally sprang out of the necessity for obtaining the best linear law to control Linear Discrete-Time Dynamic Systems (LDTDS), it can be used in every Optimization Problem of both Linear and Non-Linear Cost Functions and Constraints. An appropriate procedure for handling both Equality and Inequality Constraints is offered along with its application on real-world problems. A powerful Artificial Neural Network (ANN) is implemented to fully exploit the proposed technique and experimental results are provided. The chaotic behaviour of the latter is also discussed.",

keywords = "ANNs, Chaos, Lagrange Multipliers, LDTDS, Non-Linear Constrained Optimization Problem",

author = "Economou, {G. P.K.} and Anagnostopoulos, {G. C.} and Theodosiou, {D. T.} and T. Stouraitis and Goutis, {C. E.}",

year = "1994",

doi = "10.1109/EURMIC.1994.390348",

language = "British English",

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series = "Conference Proceedings of the EUROMICRO",

pages = "637--643",

booktitle = "Proceedings of the 20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994",

note = "20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994 ; Conference date: 08-09-1994 Through 08-09-1994",

}

Economou, GPK, Anagnostopoulos, GC, Theodosiou, DT, Stouraitis, T & Goutis, CE 1994, Non-linear optimization: Artificial neural network solution techniques applied to the optimum linear feedback control of linear discrete-time dynamic systems. in Proceedings of the 20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994., 390348, Conference Proceedings of the EUROMICRO, pp. 637-643, 20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994, Liverpool, United Kingdom, 8/09/94. https://doi.org/10.1109/EURMIC.1994.390348

Non-linear optimization: Artificial neural network solution techniques applied to the optimum linear feedback control of linear discrete-time dynamic systems. / Economou, G. P.K.; Anagnostopoulos, G. C.; Theodosiou, D. T. et al.
Proceedings of the 20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994. 1994. p. 637-643 390348 (Conference Proceedings of the EUROMICRO).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - A new methodology for the solution of Constrained Non-Linear Optimization Problems is proposed. Originally sprang out of the necessity for obtaining the best linear law to control Linear Discrete-Time Dynamic Systems (LDTDS), it can be used in every Optimization Problem of both Linear and Non-Linear Cost Functions and Constraints. An appropriate procedure for handling both Equality and Inequality Constraints is offered along with its application on real-world problems. A powerful Artificial Neural Network (ANN) is implemented to fully exploit the proposed technique and experimental results are provided. The chaotic behaviour of the latter is also discussed.

KW - ANNs

KW - Chaos

KW - Lagrange Multipliers

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Economou GPK, Anagnostopoulos GC, Theodosiou DT, Stouraitis T, Goutis CE. Non-linear optimization: Artificial neural network solution techniques applied to the optimum linear feedback control of linear discrete-time dynamic systems. In Proceedings of the 20th EUROMICRO Conference on System Architecture and Integration, EUROMICRO 1994. 1994. p. 637-643. 390348. (Conference Proceedings of the EUROMICRO). doi: 10.1109/EURMIC.1994.390348

Non-linear optimization: Artificial neural network solution techniques applied to the optimum linear feedback control of linear discrete-time dynamic systems

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Keywords

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