Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72522
Title: Combined adaptive and fuzzy control using multiple models
Authors: Xu, Jian-Xin 
Liu, Chen
Hang, Chang C. 
Issue Date: 1994
Source: Xu, Jian-Xin,Liu, Chen,Hang, Chang C. (1994). Combined adaptive and fuzzy control using multiple models. IEEE International Conference on Fuzzy Systems 1 : 22-29. ScholarBank@NUS Repository.
Abstract: This paper presents a control strategy to deal with processes in which both system parameters and orders are unknown and undergo abrupt structural variations. To handle such complicated control problems, a combined adaptive and fuzzy control scheme is developed. A number of Generalized Minimum Variance (GMV) controllers are designed according to all the possible process structures. A higher level model selection mechanism will decide which controller candidate is the best. A fuzzy modification algorithm is introduced to improve the system responses in transient period by detuning control weights of GMV controllers. To cope with possible instability caused by non-minimum phase dynamics, a fuzzy PID backup is introduced as well. Some adaptation is added to the fuzzy PID backup to obtain better system performance.
Source Title: IEEE International Conference on Fuzzy Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/72522
Appears in Collections:Staff Publications

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