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

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

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...

Full description

Bibliographic Details
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

Internet

http://umpir.ump.edu.my/id/eprint/42052/1/2024_IJAME_Particle%20Swarm%20Optimizaton-Based.pdf

Similar Items