Adaptive tuning of fractional order PID controllers for nonlinear processes using hybrid PSO DQN reinforcement learning

Abstract This study presents an innovative adaptive non-linear fractional-order PID (FOPID) tuning methodology for a flow meter controller in a desalination plant, integrating a hybrid Particle Swarm Optimization (PSO) and Deep Q-Network (DQN)-based Reinforcement Learning (RL) strategy with a dynami...

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Váldodahkkit:	Reza Shahouni, Masoud Bahraini, Moslem Abrofarakh, Mohsen Abbasi
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Nature Portfolio 2025-11-01
Ráidu:	Scientific Reports
Fáttát:	Non-Linear FOPID PID controller tuning ANN PSO-RL GA Deep Q-Network
Liŋkkat:	https://doi.org/10.1038/s41598-025-22509-x
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