Title :
Fuzzy information and degree of resolution within the context of a control hierarchy
Author :
De Silva, Clarence W.
Author_Institution :
Dept. of Mech. Eng., British Columbia Univ., Vancouver, BC, Canada
fDate :
28 Oct-1 Nov 1991
Abstract :
The authors discuss a hierarchical control structure from the viewpoints of the degree of information resolution and the fuzziness of the knowledge base at various levels of the hierarchy. In particular, the concept of fuzzy resolution is addressed. The specific control system considered is a workcell for automated mechanical processing of fish. Qualitatively, the required information resolution decreases and fuzziness of the knowledge base increases with the hierarchical level of the system. Correspondingly, the fuzzy resolution will decrease. Also, since the quantity of data increases with resolution, and, furthermore, the duration of event cycles is generally longer at high levels, the bandwidth of information and control will decrease with the hierarchical level. These considerations are equally applicable to control, sensing, and organizational functions within the hierarchical structure
Keywords :
computerised pattern recognition; food processing industry; fuzzy set theory; hierarchical systems; knowledge based systems; process computer control; computerised pattern recognition; fish processing; food processing industry; fuzzy resolution; fuzzy set theory; hierarchical control structure; information resolution; knowledge based system; process computer control; Automatic control; Automation; Bandwidth; Control systems; Distributed control; Fuzzy control; Industrial control; Intelligent systems; Marine animals; Mechanical engineering;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-87942-688-8
DOI :
10.1109/IECON.1991.239098