Searched for: subject%3A%22System%255C%252Bidentification%22
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document
van der El, Kasper (author)
The introduction of ever-advancing automatic control systems is rapidly changing traditional manual control tasks such as piloting of aircraft and steering of cars. In order to predict how human controllers will interact with new technology, a thorough understanding of the human’s adaptive manual control capabilities and limitations is essential...
doctoral thesis 2018
document
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
document
Duarte, R.F.M. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
In this paper, the Linear Parameter Varying (LPV) model identification framework is applied to estimating time-varying human controller (HC) dynamics in a single-loop tracking task. Given the inherently unknown time changes in HC behavior, a global LPV approach with experimentally determined Scheduling Functions (SFs) is needed for this...
conference paper 2017
document
Drop, F.M. (author)
Understanding how humans control a vehicle (cars, aircraft, bicycles, etc.) enables engineers to design faster, safer, more comfortable, more energy efficient, more versatile, and thus better vehicles. In a typical control task, the Human Controller (HC) gives control inputs to a vehicle such that it follows a particular reference path (e.g.,...
doctoral thesis 2016
Searched for: subject%3A%22System%255C%252Bidentification%22
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