Fuzzy adaptive control of a first-order process

Graham B.P. and Newell R.B. (1989) Fuzzy adaptive control of a first-order process. Fuzzy Sets and Systems, 31 1: 47-65. doi:10.1016/0165-0114(89)90066-3


Author Graham B.P.
Newell R.B.
Title Fuzzy adaptive control of a first-order process
Journal name Fuzzy Sets and Systems   Check publisher's open access policy
ISSN 0165-0114
Publication date 1989-05-30
Sub-type Article (original research)
DOI 10.1016/0165-0114(89)90066-3
Volume 31
Issue 1
Start page 47
End page 65
Total pages 19
Subject 1702 Cognitive Sciences
1706 Computer Science Applications
1707 Computer Vision and Pattern Recognition
1802 Maori Law
1804 Statistics, Probability and Uncertainty
2208 Electrical and Electronic Engineering
2613 Statistics and Probability
Abstract Fuzzy adaptive control of a first-order process with a varying gain and time constant is demonstrated. The fuzzy adaptive controller is based on a fuzzy model-based controller that uses an explicit fuzzy model of the process. Adaptation is achieved by the addition of on-line identification of the fuzzy process model. Starting with a crude initial model the adaptive controller matches the model to the process to self-tune the controller. The model is further modified when the operating point is changed to adapt the controller to the new process conditions. Two different fuzzy identification algorithms are both shown to provide a successful fuzzy adaptive controller. The robustness of the algorithms in the presence of process noise is investigated and improved by the addition of weighting factors.
Keyword adaptive control
Fuzzy control
fuzzy identification
model-based control
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
 
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Created: Tue, 05 Jul 2016, 15:20:01 EST by System User