Fuzzy adaptive control of a first-order process

Citation

Graham B & Newell RB (1989) Fuzzy adaptive control of a first-order process. Fuzzy Sets and Systems, 31 (1), pp. 47-65. https://doi.org/10.1016/0165-0114%2889%2990066-3

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.

Keywords
Fuzzy control; fuzzy identification; adaptive control; model-based control

Journal
Fuzzy Sets and Systems: Volume 31, Issue 1

People

Professor Bruce Graham

Emeritus Professor, Computing Science