Searched for: subject%3A%22time%255C-varying%255C+identification%22
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Ortiz Moya, Álvaro (author)
The identification of time-varying, adaptive behaviour of a human operator in basic manual control tasks is undoubtedly under development since most methodologies only account for time-invariant systems. Previous authors have proved that estimation techniques based on ARX structures can generally identify the HO model parameters. Nonetheless,...
master thesis 2023
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Piera, Sybe (author)
Future human-machine control tasks with preview (e.g., car driving) are expected to include automation for safety, but keep operators in charge for liability. Such shared control applications require time-varying human identification because the control feedback should be compatible with the operator's variable behavior. A promising time-domain...
master thesis 2022
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Palings, Rik (author)
Haptic Shared Control (HSC) systems offer a means to naturally support human drivers in the transition to automated driving. Tuning of HSC requires knowledge of the neuromuscular system (NMS) of drivers. This MSc thesis project aimed to experimentally validate a linear parameter varying (LPV) technique for modeling driver neuromuscular...
master thesis 2022
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Versteeg, Rogier (author)
Traditional analysis of human manual control behaviour is currently constrained by the linear time-invariant assumption of the state-of-the-art “cybernetic” approach. This implies that time-varying and nonlinear aspects of human behaviour are generally overlooked, while these could be critical characteristic factors in, for example, the...
master thesis 2019
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Wijlens, Rowenna (author)
Pilots’ manual flying skills have notably reduced due to the increase in flight deck automation over the last decades. This has resulted in a growing concern that today pilots lack the skills to safely and successfully prevent or recover from unexpected aircraft upset events or to take over controls after a sudden transition to manual flying....
master thesis 2019
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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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Kerklaan, Martijn (author)
The dynamic relation between the displacement and reaction torque of the human joint is known as joint impedance. Properly quantifying joint impedance has medical potential in the diagnosis, understanding and modelling of movement disorders associated with neuromuscular conditions like cerebral palsy, stroke, dystonia and old age. The...
master thesis 2018
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