Print Email Facebook Twitter The Predictability of a Target Signal Affects Manual Feedforward Control Title The Predictability of a Target Signal Affects Manual Feedforward Control Author Drop, F.M. (TU Delft Control & Simulation) Mulder, Max (TU Delft Control & Operations) Bülthoff, Heinrich H. (Max Planck Institute for Biological Cybernetics) de Vries, R. (Max Planck Institute for Biological Cybernetics) Department Control & Operations Date 2016 Abstract In the manual control of a dynamic system, the human controller (HC) is often required to follow a visible and predictable reference path. Using the predictable aspect of a reference signal, through applying feedforward control, the HC can significantly improve performance as compared to a purely feedback control strategy. A proper definition of a signal’s predictability, however, is never given in literature. This paper investigates the predictability of a sum-of-sinusoids target signal, as a function of the number of sinusoid components and the fact whether the sinusoid frequencies are harmonic, or not. A human-in-the-loop experiment was done, with target signals varying for these two signal characteristics. A combined feedback-feedforward HC model was identified and parameters were estimated. It was found that for all experimental conditions, subjects used a feedforward strategy. Results further showed thatsubjects were able to perform better for harmonic signals as compared to non-harmonic signals, for signals with roughly the same frequency content. Subject cyberneticsmanual controldynamic behaviourmodeling To reference this document use: http://resolver.tudelft.nl/uuid:a998f597-3cd8-4040-a704-cd44fc75b622 DOI https://doi.org/10.1016/j.ifacol.2016.10.482 ISSN 2405-8963 Source IFAC-PapersOnLine, 49 (19), 177-182 Event 13th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, 2016-08-30 → 2016-09-02, Kyoto, Japan Part of collection Institutional Repository Document type journal article Rights © 2016 F.M. Drop, Max Mulder, Heinrich H. Bülthoff, R. de Vries Files PDF IFAC2016_Drop_2.pdf 950.67 KB Close viewer /islandora/object/uuid:a998f597-3cd8-4040-a704-cd44fc75b622/datastream/OBJ/view