READ ME File For 'Dataset in support of the conference paper 'Multiple model iterative learning control for FES electrode arrays' Dataset DOI: 10.5258/SOTON/D3186 Date that the file was created: Month, Year ------------------- GENERAL INFORMATION ------------------- ReadMe Author: Lucy Hodgins, University of Southampton [0000-0001-6109-0546] Date of data collection: January - March 2024 Information about geographic location of data collection: Simulation -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse: Recommended citation for the data: This dataset supports the publication: AUTHORS: Lucy Hodgins, Chris T. Freeman, Zehor Belkhatir TITLE: Multiple Model Iterative Learning Control of FES Electrode Arrays JOURNAL: ICINCO PAPER DOI IF KNOWN: Links to other publicly accessible locations of the data: Links/relationships to ancillary or related data sets: -------------------- DATA & FILE OVERVIEW -------------------- This dataset contains: ICINCO_simulation_supplementary_materials.pdf - Summary of simulation work preceeding the experimental work published in the paper Simulation_results.xlsx - Tabled results from simulations, used to generate graphs ginve in the above document Parameter_log.xlsx - Parameters used in simulations. Unless otherwise specified these correspond to those used to generate the model for the experimental results presented in the final paper. Relationship between files, if important for context: Additional related data collected that was not included in the current data package: If data was derived from another source, list source: If there are there multiple versions of the dataset, list the file updated, when and why update was made: -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: MATLAB simulations Methods for processing the data: Matlab graphs Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: None Standards and calibration information, if appropriate: Environmental/experimental conditions: Describe any quality-assurance procedures performed on the data: People involved with sample collection, processing, analysis and/or submission: