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

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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...

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

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