Particle swarm optimization-based model-free adaptive control for time-varying batch processes

• Main Authors: Wang, Zhao, A.S., Sadun, N.A., Jalaludin, J., Jalani, S.N.H., Arifin, Mohamed Sunar, N., Muhammad Ashraf, Fauzi
• Format: Article
• Language: English
• Published: Universiti Malaysia Pahang 2024
• Subjects: AI Indexes (General); HD28 Management. Industrial Management
• Online Access: http://umpir.ump.edu.my/id/eprint/42052/1/2024_IJAME_Particle%20Swarm%20Optimizaton-Based.pdf; http://umpir.ump.edu.my/id/eprint/42052/; https://doi.org/10.15282/ijame.21.2.2024.7.0870
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

The batch process is a production process with strong nonlinearity, which usually suffers from time-varying parameters and uncertainty of disturbances. Concerning the mentioned problems, this study proposes to investigate the application of the particle swarm optimization-based model-free adaptive c...