A framework for knowledge-based control

Tzafestas, S; Ligeza, A

dc.contributor.author	Tzafestas, S	en
dc.contributor.author	Ligeza, A	en
dc.date.accessioned	2014-03-01T01:07:20Z
dc.date.available	2014-03-01T01:07:20Z
dc.date.issued	1989	en
dc.identifier.issn	09210296	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9940
dc.subject	Artificial intelligence	en
dc.subject	automatic control	en
dc.subject	control support systems	en
dc.subject	expert control	en
dc.subject	expert systems	en
dc.subject	inference rules	en
dc.subject	knowledge engineering	en
dc.subject	knowledge-based control	en
dc.subject	reasoning/inference control	en
dc.title	A framework for knowledge-based control	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BF00126469	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BF00126469	en
heal.publicationDate	1989	en
heal.abstract	A framework for knowledge-based control is proposed. The approach presented is suitable for control systems and control support of systems which have no adequate mathematical models. Thus, the control is performed by using knowledge engineering methods rather than pure mathematical control methods. The domain expert's knowledge is assumed to be encoded in the form of simple statements (facts) and special reasoning rules, which form the core of the Knowledge-Based Control System (KBCS). The control system reads the input information, and on the basis of the current state of its knowledge base, together with the application of supplied inference rules updates the knowledge base and performs the required control actions. Moreover, some inference control knowledge, reflecting the expert's way of reasoning, is to be incorporated in the KBCS. The main idea of the system consists of selecting an appropriate set of actions to be executed, with regard to the current state specification and the control goal given. An abstract mathematical model of the control process is formulated and a suitable language for knowledge representation is proposed. The reasoning scheme is discussed and the structure of the control system is outlined. A representative application example is provided. © 1989 Kluwer Academic Publishers.	en
heal.publisher	Kluwer Academic Publishers	en
heal.journalName	Journal of Intelligent and Robotic Systems	en
dc.identifier.doi	10.1007/BF00126469	en
dc.identifier.volume	1	en
dc.identifier.issue	4	en
dc.identifier.spage	407	en
dc.identifier.epage	425	en