Title :
Using new aggregation operators in rule-based intelligent control
Author :
Berenji, Hamid R. ; Chen, Yung-Yaw ; Yager, Ronald R.
Author_Institution :
NASA Ames Res. Center, Moffett Field, CA, USA
Abstract :
A new aggregation operator is applied in the design of an approximate reasoning-based controller. The ordered weighted averaging (OWA) operator has the property of lying between the AND function and the OR function used in previous fuzzy set reasoning systems. It is shown that, by applying OWA operators, more generalized types of control rules, which may include linguistic quantifiers such as MANY and MOST, can be developed. The new aggregation operators, as tested in a cart-pole balancing control problem, illustrate improved performance when compared with existing fuzzy control aggregation schemes
Keywords :
control system synthesis; fuzzy logic; inference mechanisms; knowledge based systems; AND function; MANY; MOST; OR function; aggregation operator; approximate reasoning-based controller; cart-pole balancing; fuzzy logic; inference mechanisms; linguistic quantifiers; rule-based intelligent control; Artificial intelligence; Control systems; Electric variables control; Fuzzy control; Fuzzy logic; Humans; Inductors; Intelligent control; NASA; Open wireless architecture;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.204016
