Human as an Actuator Dynamic Model Identification

2026/01/12 by Harrison M. Bonner, Matthew R. Kirchner
Engineering · Medicine · Neuroscience · #Actuator #Aerospace and Aviation Technology #Automotive and Human Injury Biomechanics #Control (management) #Control theory (sociology) #Domain (mathematical analysis) #Identification (biology) #Motor Control and Adaptation #Position (finance) #Quadcopter #System identification #Task (project management) #Time domain

paper · pdf · doi:10.1109/aero66936.2026.11519870

openalex publication_date 2026/03/07 · openalex created_date 2026/05/23 · openalex updated_date 2026/08/01

Abstract

This paper presents a method for estimating parameters that form a general model for human pilot response for specific tasks. The human model is essential for the dynamic analysis of piloted vehicles. Data are generated on a simulator with multiple trials being incorporated to find the single model that best describes the data. The model is found entirely in the time domain by constructing a constrained optimization problem. This optimization problem implicitly represents the state of the underlying system, making it robust to natural variation in human responses. It is demonstrated by estimating the human response model for a position control task with a quadcopter drone.

Citations

• On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

Related

• A Control Theoretical Adaptive Human Pilot Model: Theory and Experimental Validation
• Human Control Model Estimation in Physical Human–Machine Interaction: A Survey
• Human Behavior Modeling via Identification of Task Objective and Variability
• Survey of Human Models for Verification of Human-Machine Systems
• An Adaptive Pilot Model with Reaction Time-Delay