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This paper treats observer-based control systems for the identification of human states under the conditions of a dead time that appears in the control of the human factor. Models describing the behavior of a healthy human as well as models associated with certain functional disabilities persons (with Parkinson’s diseases) are analyzed. The convergence of the observer with dead time is studied by Lambert techniques. The convergence of the observer is determined by the stability conditions of the inferred models. Numerical simulations demonstrate the convergence of the analyzed observers. The obtained results are exemplified on a driving system of an Electric Vehicle where the human component is a person with functional disabilities.

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Human State Observability in the Human Machine System

  • 会议论文

  • 发表日期：

    2025年

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  • Mircea Ivanescu,
  • Mircea Nitulescu

摘要

This paper treats observer-based control systems for the identification of human states under the conditions of a dead time that appears in the control of the human factor. Models describing the behavior of a healthy human as well as models associated with certain functional disabilities persons (with Parkinson’s diseases) are analyzed. The convergence of the observer with dead time is studied by Lambert techniques. The convergence of the observer is determined by the stability conditions of the inferred models. Numerical simulations demonstrate the convergence of the analyzed observers. The obtained results are exemplified on a driving system of an Electric Vehicle where the human component is a person with functional disabilities.