Soft Sensors for Advanced Process Modelling, Monitoring, Control, and Optimisation
Submission DeadLine: 01 March 2025
With the increase in the complexity and regulatory constraints for industrial processes, it has become increasingly important to understand them. Unfortunately, in many cases, it may not be possible to obtain accurate, online measurements of the variables at the required sampling frequency required for control, monitoring, and optimisation. Thus, there is a need to develop and implement advanced soft sensors that provide information about the current state of the system using the available information. This special issue will provide the opportunity for both academic and industrial researchers to present their ideas and thoughts with the goal of finding common problems and solutions.
Guest editors:
Prof. Yuri A.W. Shardt, Technical University of Ilmenau, 98684 Ilmenau, Germany. Email: yuri.shardt@tu-ilmenau.de
Prof. Xu Yang, University of Science & Technology Beijing, China. Email: yangxu@ustb.edu.cn
Prof. Fan Yang, Tsinghua University, Beijing 100084, China. Email: yangfan@tsinghua.edu.cn
Prof. Sanghong Kim, Tokyo University of Agriculture and Technology, Japan. Email: sanghong@go.tuat.ac.jp
Prof. Joseph Kwon, Texas A&M University, College Station, TX 77843-3251, USA. Email: kwonx075@tamu.edu
Special issue information:
This special issue will collect the research and applications currently being done in the area of soft-sensor development in both academia and industry. Topics of interest to this special issue include, but are not limited to:
Artificial intelligence in modelling and the development of soft sensors;
Soft sensors for process monitoring;
Soft sensors for control, including model predictive control and adaptive control;
Soft sensors for process optimisation;
Updating and maintaining soft sensors with changing conditions;
Detecting plant-model mismatch;
Dual control and how it can be used to develop a unified framework for sensor development and control;
Applications of soft sensors in industry;
Real-time model-free learning methods;
Practical implementations of the above topics; and
Survey papers discussing the impact and implications of the methods in industry.
Manuscript submission information:
Submission deadline: March 1st, 2025
Manuscripts should be submitted using the ISA Transactions online submission system (https://www.editorialmanager.com/isatrans/default.aspx ) by selecting the Article Type of “SI: Soft Sensors”.
Please refer to the Guide for Authors to prepare your manuscript: https://www.sciencedirect.com/journal/nonlinear-analysis-hybrid-systems/publish/guide-for-authors.
Keywords:
Soft sensors; modelling; control; optimisation; Artificial Intelligence
ISA Transactions的CAR指数
2023年3月份科睿唯安官方一次性踢除35本SCI期刊，多数涉及学术诚信问题，让我们意识到学术期刊的“被踢”指数，也很重要。目前，对于期刊的“被踢”指数，这里介绍一下：CAR指数（关于CAR的详细介绍，请关注：www.jcarindex.com），这是一种评价期刊学术诚信风险的指数，指数越高代表可能的风险越大。从数据看，ISA Transactions不管是2023年度，还是2024年度实时的CAR指数，都是比较低的。当然，CAR指数仅供参考，期刊风险情况，需以科睿唯安或中科院预警等官方为准！
让推送更美好~
