Integrated Optimal Control for Electrolyte Temperature With Temporal Causal Network and Reinforcement Learning

Liu, Tianhao; Yang, Chunhua; Zhou, Can; Li, Yonggang; Sun, Bin

doi:10.1109/tnnls.2023.3278729

Cited by 4 publications

(1 citation statement)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In non-ferrous hydrometallurgy research, Liu, Yang, Zhou, Li & Sun (2023) emphasizes that electrodeposition represents a critical process characterized by high energy consumption. Current efficiency and electrolyte temperature emerge as crucial factors for its operation.…”

Section: Introductionmentioning

confidence: 99%

The Implementation of Optimal Control for Thermal Regulation in Finite Volume Spaces Described by Second-Order Dynamics

Calderon-Lopez,

Gutiérrez-Moreno,

Ordaz-Oliver

et al. 2023

Int. Journal of COP and Infor.

View full text Add to dashboard Cite

Temperature control systems have various applications, from cooling to casting, and are crucial for ensuring quality in production. Although essential, their usage entails a significant energy consumption. This project focuses on implementing optimal control synthesized from the calculus of variations applied to the Hamilton-Jacobi-Bellman equation to regulate temperature within a finite volume space. The objective is to enhance thermal efficiency without compromising product quality. The approach not only aims to optimize energy consumption but also to ensure uniformity and quality in products and processes affected by temperature. This can be achieved by maintaining thermal stability at desired values and responsible resource management. In general, the article proposes improving efficiency and quality in temperature regulation, contributing to sustainable and effective industrial practices.

show abstract

Section: Introductionmentioning

confidence: 99%