Dynamic controlled variables (DCVs) extend self-optimizing control to dynamic problems by using deep neural networks to identify implicit mappings that maintain near-optimal performance without fixed horizons.
Using stochastic programming to train neural network approximation of nonlinear mpc laws.Automatica, 146:110665, December 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Dynamic Controlled Variables Based Dynamic Self-Optimizing Control
Dynamic controlled variables (DCVs) extend self-optimizing control to dynamic problems by using deep neural networks to identify implicit mappings that maintain near-optimal performance without fixed horizons.