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Reducing code complexity in hybrid control systems

Reducing code complexity in hybrid control systems
Reducing code complexity in hybrid control systems
Modern control systems are limited in their ability to react flexibly and autonomously to changing situations by the complexity inherent in analysing situations where many variables are present. We present an architecture based on a combination of agent languages and hybrid systems for managing high level decisions in such systems. A preliminary case study suggests that the complexity of the code of such a system increases much more slower in the face of increasing complexity of the underlying system, than in a more traditional approach based on finite state machines.
Dennis, Louise
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Fisher, Michael
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Lincoln, N.K.
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Veres, S.M.
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Lisitsa, Alexei
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Dennis, Louise
e772a6a8-b1a1-4d2c-9d1c-056088f624e7
Fisher, Michael
616d5a50-3c37-4c48-92db-346df08bc0e5
Lincoln, N.K.
188c4d11-0fb6-494d-8dea-cf24bd28d3fa
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
Lisitsa, Alexei
4f939054-1e3d-46fc-9b84-f9c17b87baaf

Dennis, Louise, Fisher, Michael, Lincoln, N.K., Veres, S.M. and Lisitsa, Alexei (2010) Reducing code complexity in hybrid control systems. The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space, Japan. 29 Aug - 01 Sep 2010. 6 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Modern control systems are limited in their ability to react flexibly and autonomously to changing situations by the complexity inherent in analysing situations where many variables are present. We present an architecture based on a combination of agent languages and hybrid systems for managing high level decisions in such systems. A preliminary case study suggests that the complexity of the code of such a system increases much more slower in the face of increasing complexity of the underlying system, than in a more traditional approach based on finite state machines.

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Published date: 29 August 2010
Venue - Dates: The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space, Japan, 2010-08-29 - 2010-09-01
Organisations: Aeronautics, Astronautics & Comp. Eng

Identifiers

Local EPrints ID: 203533
URI: https://eprints.soton.ac.uk/id/eprint/203533
PURE UUID: b1921ff0-6973-43ba-bb34-0f0608d3b985

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Date deposited: 17 Nov 2011 12:05
Last modified: 13 Jun 2018 16:32

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Contributors

Author: Louise Dennis
Author: Michael Fisher
Author: N.K. Lincoln
Author: S.M. Veres
Author: Alexei Lisitsa

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