Model of the Adaptive Behavior of the Human Operator in Response to a Sudden Change in the Control Situation

Phatak, A. V.; Bekey, George A.

doi:10.1109/tmms.1969.299886

Cited by 39 publications

(16 citation statements)

References 4 publications

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“…Attention no longer has to be focused on adaptation to sudden large changes because of analysis constraints [7], [44]- [46], but can be directed to the effect of more gradual changes.…”

Section: Resultsmentioning

confidence: 99%

Estimation of time-varying delay time in nonstationary linear systems: an approach to monitor human operator adaptation in manual tracking tasks

Boer

Kenyon

1998

IEEE Trans. Syst., Man, Cybern. A

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Abstract-Adaptability is one of man's advantages over machines. Perhaps one of the reasons for our limited understanding about human adaptation during manual tracking tasks is that we have only limited tools to identify the model coefficients (especially delay time) of an adapting human operator. In this paper, we introduce a discrete time recursive delay identifier (RDI) capable of simultaneously estimating a human operator's nonstationary delay time and linear model coefficients. At its core lies the extended Kalman filter (EKF). Our goal to obtain fractional delay time estimates was realized by using the bicubic interpolation scheme as part of the EKF to provide subsample magnitude and derivative estimates of the observed input/output time series. While this theoretically limits the RDI's applicability to bandlimited or differentiable signals, this is seldom a concern in practice. Based on data from simulated and experimental time varying tracking tasks, we show the RDI's potential to substantially increase our understanding about human adaptations thus perhaps offering new avenues for machine adaptation.

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“…Attention no longer has to be focused on adaptation to sudden large changes because of analysis constraints [7], [44]- [46], but can be directed to the effect of more gradual changes.…”

Section: Resultsmentioning

confidence: 99%

Estimation of time-varying delay time in nonstationary linear systems: an approach to monitor human operator adaptation in manual tracking tasks

Boer

Kenyon

1998

IEEE Trans. Syst., Man, Cybern. A

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“…(6) An investigation of the capabilities of windowed FFT measurements indicated that the approach was not suitable for short run-length identification. (7) Use of the algorithm defined as gettf1for time-varying pilot identification appears useful for both the single-loop and multi-loop tasks examined here, allowing optimization of the regressor parameters.…”

Section: Discussionmentioning

confidence: 99%

A Preliminary Study of Human Pilot Dynamics in the Control of Time-Varying Systems

Hess

2011

AIAA Modeling and Simulation Technologies Conference

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An exploratory examination of time-varying human pilot behavior is presented. A procedure for creating a real-time, pilot-in-the loop simulation environment using Simulink® is discussed. A series of single-axis compensatory tracking tasks are conducted with a single, well-trained subject. Identification of pilot dynamics is undertaken using the output error model estimation algorithm. The results suggest that the human pilot is capable of generating dynamics associated with the crossover model of the human during controlled element transitions. A model matching exercise is included in which the parameters of a simplified pursuit control model of the human pilot are varied to provide an acceptable match to the identified open-loop pilot/vehicle transfer function. A brief discussion of the statistical properties associated with identification techniques is presented followed by a discussion of alternate identification schemes. The latter includes a second estimation algorithm (gettf1) in which the optimal regressor order is found based upon a user-defined upper limit on the number of free parameters in the numerator and denominator. The study continues with the exercise of gettf1 in analyzing pilot-in-the-loop three-axis tracking data involving the attitude control of a helicopter model at hover. Finally, a pilot-in-the-loop simulation was conducted that utilized a simple model-reference adaptive control system that attempted to compensate for changes in vehicle dynamics. A discussion and conclusion sections complete the study.

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“…Betrachtet man den Ausfall eines Stabilisierungshilfssystems, dann kann man verschiedene Ausfallarten unterscheiden [Phatak, Bekey, 1969]. Betrachtet man den Ausfall eines Stabilisierungshilfssystems, dann kann man verschiedene Ausfallarten unterscheiden [Phatak, Bekey, 1969].…”

Section: Adaptive Manuelle Regelungunclassified

Mensch-Maschine-Systeme

Johannsen

1993

Springer-Lehrbuch

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Model of the Adaptive Behavior of the Human Operator in Response to a Sudden Change in the Control Situation

Cited by 39 publications

References 4 publications

Estimation of time-varying delay time in nonstationary linear systems: an approach to monitor human operator adaptation in manual tracking tasks

Estimation of time-varying delay time in nonstationary linear systems: an approach to monitor human operator adaptation in manual tracking tasks

A Preliminary Study of Human Pilot Dynamics in the Control of Time-Varying Systems

Mensch-Maschine-Systeme

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