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Abstrakty
The paper deals with a specific class of knowledge-based systems with a dynamical plant described by a knowledge representation with unknown parameters. The learning consists of step by step knowledge evaluation and updating, and using the results for the determination of the current control decisions. The paper presents an extension of methods and algorithms described by the author (1999) for the knowledge-based learning systems with a static plant. Two forms of the plant descriptions are taken into account: the relational knowledge representation, and the logical knowledge representation. A simple illustrative example is given.
Czasopismo
Rocznik
Tom
Strony
15--27
Opis fizyczny
Bibliogr. 18 poz., rys. 3,
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autor
- Inst. of Syst. Res., Polish Acad. of Sci., Wroclaw, Poland
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Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-BPW1-0010-0063