Collaborative Optimization Framework for the Industrial Thickening–Dewatering Process Based on Mixed Integer Linear Programming-Reference-Cited by-同舟云学术

Collaborative Optimization Framework for the Industrial Thickening–Dewatering Process Based on Mixed Integer Linear Programming

Published:2023 Issue: Volume:72 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Shulei¹^ORCID,Jia Runda²^ORCID,Pan Hengxin¹^ORCID,He Dakuo²^ORCID,Li Kang³^ORCID

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, China

2. State Key Laboratory of Synthetical Automation of Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China

3. BGRIMM Technology Group, State (Beijing) Key Laboratory of Process Automation in Mining and Metallurgy, Beijing, China

Funder

National Key Research and Development Program of China

Open Foundation of State Key Laboratory of Intelligent Optimized Manufacturing in Mining and Metallurgy Process/Beijing Key Laboratory of Process Automation in Mining and Metallurgy

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10220148.pdf?arnumber=10220148

Reference24 articles.

1. Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net

2. Automatic Synthesis of Containerized Industrial Cyber-Physical Systems: A Case Study

3. Active fault-tolerant control of quadrotor UAVs with nonlinear observer-based sliding mode control validated through hardware in the loop experiments

4. Optimizing the production scheduling of a single machine to minimize total energy consumption costs