Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72713
Title: Investigative studies for a knowledge-based intelligent adaptive generalized predictive controller
Authors: Nungam, S.
Lee, T.H. 
Issue Date: 1991
Source: Nungam, S.,Lee, T.H. (1991). Investigative studies for a knowledge-based intelligent adaptive generalized predictive controller. IFAC Symposia Series (7) : 223-228. ScholarBank@NUS Repository.
Abstract: This paper presents preliminary results on tuning the Generalized Predictive Controller (GPC) using an expert system technique. The closed-loop poles that result from applying the GPC to a first order plant are investigated. The plants are classified according to the pole-zero locations and the closed-loop behavior is studied in detail when the tuning parameters are varied. The tuning rules can be formulated from this knowledge and are implemented in the expert system to tune the GPC to satisfy the user specifications. Implementation using an expert system shell. NEXPERT, shows that this knowledge-based tuning procedure gives consistently good results.
Source Title: IFAC Symposia Series
URI: http://scholarbank.nus.edu.sg/handle/10635/72713
ISBN: 0080409350
ISSN: 09629505
Appears in Collections:Staff Publications

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