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人机系统操作员功能状态的神经模糊建模方法
Neuro-Fuzzy Approaches to Modeling Operator Functional State in human-machine system
【Author】 Liu Hua Zhang Jianhua Wang Xingyu (Automation Department,East China University of Science and Technology Shanhai 200237 China)
【机构】 华东理工大学自动化系;
【摘要】 本文的主要目的是评估人机系统中操作员功能状态(Operator Functional States,OFS)。在实验室环境下,用密封舱内空气管理自动化系统(automation enhanced Cabin Air Management System,aCAMS)模拟控制任务,同时记录操作员的生理信号和性能。采用自适应神经模糊推理系统(adaptive network-based fuzzy inference system,ANFIS)对OFS进行建模,通过生理信号数据识别和预测OFS,进而可以改变控制策略,实现智能化人机交互。
【Abstract】 The primary objective of this paper is to estimate the operator functional state(OFS)in the control of human-machine system.In a lab environment,automated cabin air management system(aCAMS)is employed to simulate a set of process control tasks recording psychophysiological signal and performance appearance.ANFIS(adaptive Network based fuzzy inference system)is used to estimate OFS which implied that the overall performance of human-machine system may be improved by identifying and predicting OFS via the proposed models.
【Key words】 Operator functional states; ANFIS; human-machine system;
- 【会议录名称】 第十九届测控、计量、仪器仪表学术年会(MCMI’2009)论文集
- 【会议名称】第十九届测控、计量、仪器仪表学术年会(MCMI’2009)
- 【会议时间】2009-11-06
- 【会议地点】中国广西桂林
- 【分类号】TP183
- 【主办单位】中国电子学会