Neural model reference adaptive control and application to a BTT-CLOS guidance system

Gordon Lightbody; George W. Irwin

Neural model reference adaptive control and application to a BTT-CLOS guidance system

Gordon Lightbody
, George W. Irwin

Queen's University Belfast

Research output: Contribution to conference › Paper › peer-review

Abstract

This study proposes a structure for a direct neural adaptive control scheme as well as a number of possible techniques with which such a controller could be trained. A case study example in which a direct neural network controller was developed to improve the control of a Bank-to-Turn, Command-to-Line-of-Sight missile is considered. Results from simulation studies are presented to demonstrate the effectiveness of the new technique.

Original language	English
Pages	2429-2435
Number of pages	7
Publication status	Published - 1994
Externally published	Yes
Event	Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) - Orlando, FL, USA Duration: 27 Jun 1994 → 29 Jun 1994

Conference

Conference	Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7)
City	Orlando, FL, USA
Period	27/06/94 → 29/06/94

Cite this

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title = "Neural model reference adaptive control and application to a BTT-CLOS guidance system",

abstract = "This study proposes a structure for a direct neural adaptive control scheme as well as a number of possible techniques with which such a controller could be trained. A case study example in which a direct neural network controller was developed to improve the control of a Bank-to-Turn, Command-to-Line-of-Sight missile is considered. Results from simulation studies are presented to demonstrate the effectiveness of the new technique.",

author = "Gordon Lightbody and Irwin, \{George W.\}",

year = "1994",

language = "English",

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note = "Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) ; Conference date: 27-06-1994 Through 29-06-1994",

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T1 - Neural model reference adaptive control and application to a BTT-CLOS guidance system

AU - Lightbody, Gordon

AU - Irwin, George W.

PY - 1994

Y1 - 1994

N2 - This study proposes a structure for a direct neural adaptive control scheme as well as a number of possible techniques with which such a controller could be trained. A case study example in which a direct neural network controller was developed to improve the control of a Bank-to-Turn, Command-to-Line-of-Sight missile is considered. Results from simulation studies are presented to demonstrate the effectiveness of the new technique.

AB - This study proposes a structure for a direct neural adaptive control scheme as well as a number of possible techniques with which such a controller could be trained. A case study example in which a direct neural network controller was developed to improve the control of a Bank-to-Turn, Command-to-Line-of-Sight missile is considered. Results from simulation studies are presented to demonstrate the effectiveness of the new technique.

UR - https://www.scopus.com/pages/publications/0028744176

M3 - Paper

AN - SCOPUS:0028744176

SP - 2429

EP - 2435

T2 - Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7)

Y2 - 27 June 1994 through 29 June 1994

ER -

Neural model reference adaptive control and application to a BTT-CLOS guidance system

Abstract

Conference

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