Control Engineering Practice

The input-output water quality datasets from a real WWTP (Beijing, China) were collected based on once every two hours over three years (from 2015 to 2017). Moreover, the input-output datasets are measured by the online sensor-based-instruments. And the output, i.e., SVI is measured by the lab technicians.

Matlab/Simulink toolbox for the automatic design of an optimal trajectory planner under kinematic and frequency specification. Type "help BuildTrajectoryGenerator" in the Matlab command window for a complete overview about this tool.

These code and data files are for the research article to Control Engineering Practice titled "Stiction compensation for low-cost electric valves", doi: https://doi.org/10.1016/j.conengprac.2023.105482. The files include a script, a Simulink model (file .slx) and a data file (.mat) to obtain the results and figures of the examples in the paper. All these files are coded in MATLAB language or Simulink (https://es.mathworks.com/products/matlab.html) using its Control toolbox. The files were run on a PC with Windows 10. The files are: - valve_LC_DU_m.m: script to load the parameters required for simulation, run the selected simulation, and plot the corresponding figure. - valve_25_01.dat: data of the valve that are necessary for simulation. - valve_LC_DU_model.slx: Simulink model to run the simulations with the different analyzed control strategies.

This dataset contains the elbow's surface electromyography (sEMG) and kinematic (joint angle) data of ten subjects (6 males and 4 females) when performing different exercises of Flexion - Extension and Pronation - Supination. For the Flexion - Extension movements, the data was collected with the subject standing performing the movement with his arm next to the body; for the Pronation - Supination movements, the subject was seated in a chair with his forearm supported on a table. The EMG data was acquired using a Shimmer3 EMG device and the joint angle was estimated using the integrated IMUs in the Shimmer3 device. The following excercises were performed by each subject: Flexion - Extension without load, Flexion - Extension with 3lb dumbbel, Flexion - Extension with 5lb dumbbell, Pronation - Supination without load, Pronation - Supination with 3lb dumbbell and Pronation - Supination with 5lb dumbbell. The data is stored in a folder for each one of the subjects, each folder contains the following 13 files: one file named subject_info includes the subject ID, age, height, weight, arm length, hand width and gender. The remaining 12 files (2 for each exercise) are named with the following convention (id: subject id, movement: excercised performed, set: training or test set, load: external load in grams). The data in each file is structured as follows: raw sEMG Channel 1 | raw sEMG Channel 2 | filtered sEMG Channel 1 | filtered sEMG Channel 2 | joint angle For Flexion - Extension: Channel 1 - Biceps Brachii and Channel 2 - Triceps Brachii. For Pronation - Supination: Channel 1 - Pronator Teres and Channel 2 - Biceps Brachii. The sEMG signal was filtered using a fourth order Chebyshev filter with cutoff frequencies of 10Hz and 500Hz, using a band ripple of 5%.