New directions for nonlinear process optimization
Sign Up to like & getrecommendations! Published in 2018 at "Current opinion in chemical engineering"
DOI: 10.1016/j.coche.2018.02.008
Abstract: The last three decades have seen tremendous advances in nonlinear programming (NLP) algorithms and software for process optimization. Moreover, powerful optimization modeling environments enable the formulation and solution of large-scale optimization applications. In fact, the… read more here.
Keywords: new directions; process; nonlinear process; optimization ... See more keywords
Asymmetric quantum steering in cascaded nonlinear process
Sign Up to like & getrecommendations! Published in 2021 at "Results in physics"
DOI: 10.1016/j.rinp.2021.104636
Abstract: Abstract Asymmetric quantum steering can achieve one-way control, which is different from multipartite quantum steering and can accomplish some work that quantum entanglement cannot complete. The cascaded nonlinear process of spontaneous parametric down-conversion cascaded with… read more here.
Keywords: asymmetric quantum; quantum steering; nonlinear process; quantum ... See more keywords
Deep Canonical Correlation Analysis Using Sparsity-Constrained Optimization for Nonlinear Process Monitoring
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3121770
Abstract: This article proposes an efficient nonlinear process monitoring method (DCCA-SCO) by integrating canonical correlation analysis (CCA), deep autoencoder neural networks (DAENNs), and sparsity-constrained optimization (SCO). Specifically, DAENNs are first used to learn a nonlinear function… read more here.
Keywords: process monitoring; correlation analysis; sparsity constrained; process ... See more keywords