Using new aggregation operators in rule-based intelligent controlA 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 here 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.
Document ID
19920028832
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Berenji, Hamid R. (NASA Ames Research Center Moffett Field, CA, United States)
Chen, Yung-Yaw (NASA Ames Research Center; Sterling Federal Systems, Inc. Moffett Field, CA, United States)
Yager, Ronald R. (Iona College New Rochelle, NY, United States)