Referenced Items are not available for this document.
In this paper, we discuss a rule-based incremental control program which has been used for controlling a laser cutting robot and in simulation for driving a car on a track, for a car parking manoeuvre, or for parking a truck with one trailer. The core of the paper concerns a learning program, Candide, which learns to control a process without a priori knowledge about the process, by observing random initial evolutions of the process and acquiring a qualitative model. Monotonous or derivative relationships between inputs and outputs are recognized, and then a rule-based incremental controller Is deduced from this model
Published in:
Automatic Control, IEEE Transactions on
(Volume:39
,
Issue:
6
)
Date of Publication: Jun 1994
- Page(s):
- 1166 - 1171
- ISSN :
- 0018-9286
- INSPEC Accession Number:
- 4727727
- Digital Object Identifier :
- 10.1109/9.293176
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jun 1994
- Sponsored by :
- IEEE Control Systems Society
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