Floor van der Rhee, Hans R. van Nauta Lemke, and Jaap G. Dijkman. Knowledge based fuzzy control of systems. IEEE Tr. on Automatic Control, 35(2), 1990. Home/Search Document Not in Database Summary Related Articles |
This paper is cited in the following contexts:
Machine Learning Applied to the Control of Complex Systems - Luzeaux (1996) (1 citation) (Correct)
.... motivated the development of intelligent control, which provides different methods involving artificial intelligence features like planification (geometric approach) Can87, CL90, FT87, Lat91, LTJ90] fuzzy and expert systems (rule based approach with structured information) HLG91, OMO 91, vdRvNLD90] neural nets (coding the knowledge into a black box with learning abilities) Kos92, Lee91, Mel90, NSA90, NW90a, NW90b, Wil93] Of course, conventional solutions have a definite advantage: there are theorems which state clearly when the solution exists and when it does not exist. But they are ....
.... have been developed: planification (geometric approach) fuzzy and expert systems (rule based approach with structured information) neural nets (coding the knowledge into a black box with learning abilities) AM92, Can87, CL90, FT87, Lat91, Lau90, LTJ90, Lee91, Mel90, NSA90, NW90a, NW90b, vdRvNLD90] 4 Learning to control a system If we see the control of a system as a skill, we can distinguish two different parts: acquisition of the skill and refinement of the skill. These may be related to more classical notions such as system identification and control (acquisition) and optimal control ....
Floor van der Rhee, Hans R. van Nauta Lemke, and Jaap G. Dijkman. Knowledge based fuzzy control of systems. IEEE Tr. on Automatic Control, 35(2), 1990.
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