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Self-Organization GMDH Computer Aided Design for Modelling of Cyclic Processes
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
1983 (English)In: Elsevier IFAC Publications / IFAC Proceedings series, ISSN 1474-6670, Vol. 16, no 19, 611-618 p.Article in journal (Refereed) Published
Abstract [en]

The Group Method Data Handling (GMDH) is a specific selforganization computer-aided design which has been proposed by Ivakhnenko (1970, 1971) and which has been described in several recent articles (Ivakhnenko et al, 1978, 1979a) and also in Soviet Automatic Control (USA). One of the several interesting properties of this CAD is its apparent ability to make high accuracy predictions of future states of complex systems. The development presents a procedure for constructing models in a simple and systematic way for complex systems which are cyclic in nature. In the present paper the structures of finite-difference models for cyclic processes are described. The criterion of prediction balance is used for analysing the optimal model. System of combined models constructed in this manner is used recursively for predicting the future states of the cyclic system. Three examples are given. One example used the data generated from a known model and the others the airtemperature data with large number of points and the tea-crop production data with less number of points. The system of combined models is compared with the single overall model. The former has given reasonably better results. The models are checked for stability in long-range actions

Place, publisher, year, edition, pages
1983. Vol. 16, no 19, 611-618 p.
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-64558DOI: 10.1016/S1474-6670(17)61743-9OAI: oai:DiVA.org:ltu-64558DiVA: diva2:1115764
Conference
2nd IFAC Symposium on computer Aided Design of Multivariable Technological Systems, West Lafayette, USA, 15-17 September 1982
Available from: 2017-06-27 Created: 2017-06-27 Last updated: 2017-11-29Bibliographically approved

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