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Versteeg, Rogier (author), Pool, D.M. (author), Mulder, Max (author)This article discusses a long short-term memory (LSTM) recurrent neural network that uses raw time-domain data obtained in compensatory tracking tasks as input features for classifying (the adaptation of) human manual control with single- and double-integrator controlled element dynamics. Data from two different experiments were used to train...journal article 2024
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Pool, D.M. (author), de Vries, Rick J. (author), Pel, Johan J.M. (author)This paper investigates the potential of using a manual pursuit tracking task for quantifying loss of motor skills due to Parkinson's disease (PD), by applying human controller (HC) modeling techniques. With this approach, it is possible to obtain detailed quantitative data on motor performance in terms of control gain, response delay,...journal article 2022
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), van Paassen, M.M. (author)Mathematical human control models are widely used in tuning manual control systems and understanding human performance. Human behavior is commonly described using linear time-invariant models, averaging-out all non-linear and time-varying effects, which are gathered into the remnant. These models are limited in their capability to capture...journal article 2022
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), van Paassen, M.M. (author)Cyberneticists develop mathematical human control models which are used to tune manual control systems and understand human performance limits. Neuroscientists explore the physiology and circuitry of the central nervous system to understand how the brain works. Both research human visuomotor control tasks, such as the pursuit tracking task....journal article 2022
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de Jong, M.A. (author), Pool, D.M. (author), Mulder, Max (author)Mathematical human controller (HC) models are widely used in tuning manual control systems and for understanding human performance. Typically, quasi-linear HC models are used, which can accurately capture the linear portion of HCs' behavior, averaged over a long measurement window. This paper presents a deep learning HC skill-level evaluation...journal article 2022
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van Ham, Jacomijn M. (author), Pool, D.M. (author), Mulder, Max (author)This paper presents the results of an experiment that was performed to verify the 'supervisory control algorithm', a well-known model of human operator adaptation to changes in controlled element dynamics. This model proposes that human adaptive behavior is triggered once the magnitudes of the tracking error or error rate exceed certain...journal article 2022
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)The 1960s crossover model is widely applied to quantitatively predict a human controller's (HC's) manual control behavior. Unfortunately, the theory captures only compensatory tracking behavior and, as such, a limited range of real-world manual control tasks. This article finalizes recent advances in manual control theory toward more general...journal article 2020
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Rojer, Jim (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)This paper describes a novel method for time-varying identification of Human Controller (HC) manual control parameters (called UKF-FPV), based on a steady-state (constant state covariance) Unscented Kalman Filter (UKF). This approach requires no a priori assumptions on the shape of HC parameter variations, which is a potential advantage over...journal article 2019
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Mulder, Max (author), Pool, D.M. (author), van der El, Kasper (author), Drop, F.M. (author), van Paassen, M.M. (author)Mathematical control models are widely used in tuning manual control systems and understanding human performance. The most common model, the crossover model, is severely limited, however, in describing realistic human control behaviour in relevant control tasks as it is only valid for tracking with a compensatory display. This paper first...journal article 2019
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Plaetinck, Wouter (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)Time-varying pilot control identification is essential for better understanding of how pilots respond when faced with sudden changes in the dynamics of the vehicle they control, such as when automatic control and stabilization systems disengage or undergo a mode transition. This paper presents the results of a human-in-the-loop experiment...journal article 2019
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Kolff, M.J.C. (author), van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)The understanding of human responses to visual information in car driving tasks requires the use of system identification tools that put constraints on the design of data collection experiments. Most importantly, multisine perturbation signals are required, including a multisine road geometry, to separately identify the different driver...journal article 2019
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Willems, M. (author), Pool, D.M. (author), van der El, Kasper (author), Damveld, H.J. (author), van Paassen, M.M. (author), Mulder, Max (author)Human modelling approaches are typically limited to feedback-only, compensatory tracking tasks. Advances in system identification techniques allow us to consider more realistic tasks that involve feedforward and even precognitive control. In this paper we study the human development of a feedforward control response while learning to...journal article 2019
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)Novel driver support systems potentially enhance road safety by cooperating with the human driver. To optimize the design of emerging steering support systems, a profound understanding of driver steering behavior is required. This article proposes a new theory of driver steering, which unifies visual perception and control models. The theory...journal article 2019
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Huang, Y. (author), Pool, D.M. (author), Stroosma, O. (author), Chu, Q. P. (author)High precision motion control of hydraulic manipulators is challenging due to the highly nonlinear dynamics and model uncertainties typical for hydraulic actuators. This paper addresses the implementation of a novel sensor-based incremental nonlinear dynamic inversion control technique for a high-precision hydraulic force controller in existence...journal article 2019
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Barendswaard, S. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)Vehicle control tasks require simultaneous control of multiple degrees-of-freedom. Most multi-axis human-control modeling is limited to the modeling of multiple fully independent single axes. This paper contributes to the understanding of multi-axis control behavior and draws a more realistic and complete picture of dual-axis manual control....journal article 2019
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Drop, F.M. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author), Bulthoff, Heinrich H. (author)The human controller (HC) in manual control of a dynamical system often follows a visible and predictable reference path (target). The HC can adopt a control strategy combining closed-loop feedback and an open-loop feedforward response. The effects of the target signal waveform shape and the system dynamics on the human feedforward dynamics...journal article 2018
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)Due to linear perspective, the visual stimulus provided by a previewed reference trajectory reduces with increasing distance ahead. This paper investigates the effects of linear perspective on human use of preview in manual control tasks. Results of a human-in-the-loop tracking experiment are presented, where the linear perspective&#x0027...journal article 2018
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van der El, Kasper (author), Padmos, S. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)In manual control tasks, preview of the target trajectory ahead is often limited by poor lighting, objects, or display edges. This paper investigates the effects of limited preview, or preview time, in manual tracking tasks with single- and double-integrator controlled element dynamics. A quasi-linear human controller model is used to predict...journal article 2018
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Drop, F.M. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author), Bülthoff, Heinrich H. (author)Realistic manual control tasks typically involve predictable target signals and random disturbances. The human controller (HC) is hypothesized to use a feedforward control strategy for target-following, in addition to feedback control for disturbance-rejection. Little is known about human feedforward control, partly because common system...journal article 2017
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Mulder, Max (author), Pool, D.M. (author), Abbink, D.A. (author), Boer, E.R. (author), Zaal, P.M.T. (author), Drop, F.M. (author), van der El, Kasper (author), van Paassen, M.M. (author)Manual control cybernetics aims to understand and describe how humans control vehicles and devices using mathematical models of human control dynamics. This “cybernetic approach” enables objective and quantitative comparisons of human behavior, and allows a systematic optimization of human control interfaces and training...journal article 2017
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