A probe-conditioned memory and Koopman MPC framework reduces seal-width tracking error from 0.25-0.40 mm to 0.049 mm in deadband-affected industrial dispensing by retrieving historical actuator-behavior records matched to a 16-move target probe.
Machine learning-based predictive control using on-line model lineariza- tion: Application to an experimental electrochemical reactor
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Probe-Conditioned Memory for Actuator-Deadband-Aware Koopman MPC in Industrial Sealing
A probe-conditioned memory and Koopman MPC framework reduces seal-width tracking error from 0.25-0.40 mm to 0.049 mm in deadband-affected industrial dispensing by retrieving historical actuator-behavior records matched to a 16-move target probe.