Automatic decomposition of large-scale industrial processes for distributed MPC on the Shell–Yokogawa Platform for Advanced Control and Estimation (PACE)

Tang, Wentao; Carrette, Pierre; Cai, Yongsong; Williamson, John M.; Daoutidis, Prodromos

doi:10.1016/j.compchemeng.2023.108382

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

334 Leonard St

Brooklyn, NY 11211

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Automatic decomposition of large-scale industrial processes for distributed MPC on the Shell–Yokogawa Platform for Advanced Control and Estimation (PACE)

Cited by 3 publications

References 53 publications

Causality Analysis of the Green Ammonia Synthesis Process Using the Convergent Cross Mapping Algorithm

Causality Analysis of the Green Ammonia Synthesis Process Using the Convergent Cross Mapping Algorithm

An improved robust distributed H∞ control method for uncertain interconnected large-scale time-delayed systems

Resolving large-scale control and optimization through network structure analysis and decomposition: A tutorial review

Contact Info

Product

Resources

About