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A modular, massivel...
A modular, massively parallel computer architecture for trainable real-time control systems
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- Nilsson, Kenneth, 1951- (author)
- Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)
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- Svensson, Bertil, 1948- (author)
- Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS),Department of Computer Engineering, Chalmers University of Technology, Göteborg, Sweden
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- Wiberg, Per-Arne, 1953- (author)
- Department of Computer Engineering, Chalmers University of Technology, Göteborg, Sweden
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(creator_code:org_t)
- Kidlington, Oxford : Pergamon Press, 1993
- 1993
- English.
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In: Control Engineering Practice. - Kidlington, Oxford : Pergamon Press. - 0967-0661 .- 1873-6939. ; 1:4, s. 655-661
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- A new system-architectural concept for trainable real-time control systems is based on resource adequacy both in processing and communication. Cyclically executing programs in distributed nodes communicate via a shared high-speed medium. Static scheduling of programs and communication implies that the maximum possible work-load can always be handled in a time-deterministic manner. The use of Artificial Neural Networks (ANN) algorithms and trainability implies a new system development strategy based on a Continuous Development paradigm. An implementation of the Architectural concept is presented. The communication speed is measured in Gbps and the access method is TDMA. An implementation of the system-development strategy is also presented. © 1993.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
Keyword
- Algorithms
- Control systems
- Neural networks
- Parallel processing systems
- Real time systems
- Control system design
- Learning systems
- Static scheduling
- Time deterministic manner
- Computer architecture
Publication and Content Type
- ref (subject category)
- art (subject category)
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