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A modular, massively parallel computer architecture for trainable real-time control systems
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS).
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS). Department of Computer Engineering, Chalmers University of Technology, Göteborg, Sweden.ORCID-id: 0000-0001-6625-6533
Department of Computer Engineering, Chalmers University of Technology, Göteborg, Sweden.
1993 (Engelska)Ingår i: Control Engineering Practice, ISSN 0967-0661, E-ISSN 1873-6939, Vol. 1, nr 4, s. 655-661Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
Kidlington, Oxford: Pergamon Press, 1993. Vol. 1, nr 4, s. 655-661
Nyckelord [en]
Algorithms, Control systems, Neural networks, Parallel processing systems, Real time systems, Control system design, Learning systems, Static scheduling, Time deterministic manner, Computer architecture
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Identifikatorer
URN: urn:nbn:se:hh:diva-37653DOI: 10.1016/0967-0661(93)91389-EScopus ID: 2-s2.0-0027650263OAI: oai:DiVA.org:hh-37653DiVA, id: diva2:1233933
Tillgänglig från: 2018-07-20 Skapad: 2018-07-20 Senast uppdaterad: 2018-07-20Bibliografiskt granskad

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Nilsson, KennethSvensson, BertilWiberg, Per-Arne

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