Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges
Since the proposal of moving horizon (MH) estimation in 1960s, the MH estimation approach
has drawn ever-increasing research interests due mainly to its inherent capability of …
has drawn ever-increasing research interests due mainly to its inherent capability of …
A survey of run-to-run control for batch processes
Abstract Run-to-run (R2R) control is widely used in semiconductor manufacturing systems to
minimize the process drift, shift and variability. The R2R controller adjusts control actions or …
minimize the process drift, shift and variability. The R2R controller adjusts control actions or …
Online learning‐based predictive control of crystallization processes under batch‐to‐batch parametric drift
This work considers a seeded fesoterodine fumarate (FF) cooling crystallization and
presents the methodology and implementation of a real‐time machine learning modeling …
presents the methodology and implementation of a real‐time machine learning modeling …
Resilient filtering for linear time-varying repetitive processes under uniform quantizations and Round-Robin protocols
In this paper, the resilient filtering problem is investigated for a class of linear time-varying
repetitive processes with communication constraints. The communication between the …
repetitive processes with communication constraints. The communication between the …
Multiscale modeling and run-to-run control of PECVD of thin film solar cells
In this work, we focus on the development of a multiscale modeling and run-to-run control
framework with the purpose of improving thin film product quality in a batch-to-batch plasma …
framework with the purpose of improving thin film product quality in a batch-to-batch plasma …
Multiscale computational fluid dynamics modeling of thermal atomic layer deposition with application to chamber design
This work develops a first-principles-based three-dimensional, multiscale computational
fluid dynamics (CFD) model, together with reactor geometry optimizations, of SiO 2 thin-film …
fluid dynamics (CFD) model, together with reactor geometry optimizations, of SiO 2 thin-film …
State of the art review on process, system, and operations control in modern manufacturing
Dramatic advancements and adoption of computing capabilities, communication
technologies, and advanced, pervasive sensing have impacted every aspect of modern …
technologies, and advanced, pervasive sensing have impacted every aspect of modern …
Robust dynamic optimization in heterogeneous multiscale catalytic flow reactors using polynomial chaos expansion
This paper explores the application of optimal design and operational strategies under
uncertainty to a transient multiscale catalytic flow reactor system. The catalytic reactor is …
uncertainty to a transient multiscale catalytic flow reactor system. The catalytic reactor is …
Multiscale computational fluid dynamics modeling and reactor design of plasma-enhanced atomic layer deposition
Plasma-enhanced atomic layer deposition (PEALD) is one of the most widely adopted
deposition methods in the semiconductor industry. It is chosen largely due to its superior …
deposition methods in the semiconductor industry. It is chosen largely due to its superior …
[HTML][HTML] Towards advanced bioprocess optimization: A multiscale modelling approach
Mammalian cells produce up to 80% of the commercially available therapeutic proteins, with
Chinese Hamster Ovary (CHO) cells being the primary production host. Manufacturing …
Chinese Hamster Ovary (CHO) cells being the primary production host. Manufacturing …