Python implementation of the IHOMFAC algorithm proposed in the paper "Improved High Order Model-Free Adaptive Control" by Jian Xu; Na Lin; Ronghu Chi. The IHOMFAC algorithm is an improved version of the traditional high-order model-free adaptive control (HOMFAC) algorithm, which considers more information from previous time steps to enhance control performance.
To use this project, you will need to have Python 3 installed on your system. You can then install the required dependencies using pip:
pip install -r requirements.txt
The simulation in the notebook shows that the IHOMFAC method has superior control performance than the traditional high-order MFAC. The results are presented in the paper "Improved High Order Model-Free Adaptive Control" by Zhang et al.
J. Xu, N. Lin and R. Chi, "Improved High-Order Model Free Adaptive Control," 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS), Suzhou, China, 2021, pp. 704-708, doi: 10.1109/DDCLS52934.2021.9455488.