Special Issue "Control and Optimization: From Complex Process to Systems Engineering Problems"
Deadline for manuscript submissions: closed (31 May 2020).
Interests: multiscale modeling; model reduction; model predictive control; machine learning; hydraulic fracturing; pulp and paper manufacturing; crystallization; cell signal pathway; protein-ligand binding; quantum dots
Special Issues and Collections in MDPI journals
Interests: distributed parameter systems; control theory; process control; model predictive control; biomedical engineering
Experts used to believe that the top human players of Go, the ancient Chinese game, would not be able to be defeated by computers for decades, if ever. However, in March 2016, an artificial intelligence (AI) program called AlphaGo, which used 1920 CPUs and 280 GPUs, defeated Lee Sedol, the legendary world champion of Go. It is practically impossible to think of an industry that will not be transformed by the recent advances in AI, as well as by the supercomputing powers in the next several years. Process system engineers are entering a new era of control and optimization of complex process systems. Motivated by this, the objective of this Special Issue is to provide an open forum for researchers who work on the control and optimization of complex process systems to share some of their recent results and to stimulate further research in this important area. Contributions are invited on topics that include theoretical results and methodological advances towards the analysis and control of canonical complex process systems, as well as the application of state-of-the-art control and optimization methodologies to new, industrially important complex process systems, which have not received much attention.
Prof. Joseph Sang-II Kwon
Prof. Stevan Dubljevic
Manuscript Submission Information
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- Multiscale Modeling
- Model Predictive Control
- Machine Learning
- Distributed Parameter Systems
- High-Throughput Data Processing
- Quality Control
- Renewable Energy
- Transport Systems