A neuro-fuzzy combiner for multiobjective control

I. Fang Chung, Chin Teng Lin*

*此作品的通信作者

研究成果: Paper同行評審

摘要

This paper proposes a neuro-fuzzy combiner (NFC) with supervised learning capability for solving multiobjective control problems. The proposed NFC can combine n existing low-level controllers in a hierarchical way to form a multiobjective fuzzy controller. It is assumed that each low-level (fuzzy or nonfuzzy) controller has been well designed to serve a particular objective. The role of the NFC is to fuse the n actions decided by the n low-level controllers and determine a proper action acting on the environment (plant) at each time step. Hence, the NFC can combine low-level controller and achieve multiple objectives (goals) at once. Here a NFC can be designed by proposed architecture and supervised learning scheme. Computer simulations have been conducted to illustrate the performance and applicability of the proposed architecture and learning scheme.

原文English
頁面1384-1389
頁數6
DOIs
出版狀態Published - 2001
事件Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
持續時間: 25 7月 200128 7月 2001

Conference

ConferenceJoint 9th IFSA World Congress and 20th NAFIPS International Conference
國家/地區Canada
城市Vancouver, BC
期間25/07/0128/07/01

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