Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets.

Journal: Computer methods and programs in biomedicine
Published Date: Mar 21, 2017

Abstract

BACKGROUND AND OBJECTIVE: In human-machine (HM) hybrid control systems, human operator and machine cooperate to achieve the control objectives. To enhance the overall HM system performance, the discrete manual control task-load by the operator must be dynamically allocated in accordance with continuous-time fluctuation of psychophysiological functional status of the operator, so-called operator functional state (OFS). The behavior of the HM system is hybrid in nature due to the co-existence of discrete task-load (control) variable and continuous operator performance (system output) variable.

Authors

  • Jian-Hua Zhang
    School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, PR China. Electronic address: zhangjh@ecust.edu.cn.
  • Jia-Jun Xia
    School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, PR China.
  • Jonathan M Garibaldi
    IMA group, School of Computer Science, University of Nottingham, Nottingham, NG81BB, United Kingdom.
  • Petros P Groumpos
    Department of Electrical and Computer Engineering, University of Patras, 26500 Rion, Patras, Greece.
  • Ru-Bin Wang
    Institute of Cognitive Neurodynamics, East China University of Science and Technology, Shanghai 200237, PR China.

Keywords

External Resources

Popular Topics
Recent Journals