[图书][B] The Control Handbook (three volume set)
WS Levine - 2018 - taylorfrancis.com
At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …
engineers working with modern control systems required. Among its many accolades, that …
Hybrid Koopman model predictive control of nonlinear systems using multiple EDMD models: An application to a batch pulp digester with feed fluctuation
In the pulping process, feed fluctuations often occur due to the supply of raw materials from
various and unconventional sources, such as recycle to meet the increasing market demand …
various and unconventional sources, such as recycle to meet the increasing market demand …
Multiscale and multi-granularity process analytics: A review
MS Reis - Processes, 2019 - mdpi.com
As Industry 4.0 makes its course into the Chemical Processing Industry (CPI), new
challenges emerge that require an adaptation of the Process Analytics toolkit. In particular …
challenges emerge that require an adaptation of the Process Analytics toolkit. In particular …
Nonlinear model predictive control of a multiscale thin film deposition process using artificial neural networks
G Kimaev, LA Ricardez-Sandoval - Chemical Engineering Science, 2019 - Elsevier
The purpose of this study was to employ Artificial Neural Networks (ANNs) to develop data-
driven models that would enable the shrinking horizon nonlinear model predictive control of …
driven models that would enable the shrinking horizon nonlinear model predictive control of …
Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach
D Chaffart, LA Ricardez-Sandoval - Computers & Chemical Engineering, 2018 - Elsevier
This work details the construction and evaluation of a low computational cost hybrid
multiscale thin film deposition model that couples artificial neural networks (ANNs) with a …
multiscale thin film deposition model that couples artificial neural networks (ANNs) with a …
Modeling and control of crystal shape in continuous protein crystallization
In this work, a continuous crystallization process with a fines trap is modeled in an effort to
produce tetragonal hen-egg-white (HEW) lysozyme crystals with a desired shape …
produce tetragonal hen-egg-white (HEW) lysozyme crystals with a desired shape …
Machine learning-based modeling and operation for ALD of SiO2 thin-films using data from a multiscale CFD simulation
Atomic layer deposition (ALD) is a widely utilized deposition technology in the
semiconductor industry due to its superior ability to generate highly conformal films and to …
semiconductor industry due to its superior ability to generate highly conformal films and to …
[图书][B] Control system applications
WS Levine - 1999 - books.google.com
Control technology permeates every aspect of our lives. We rely on them to perform a wide
variety of tasks without giving much thought to the origins of the technology or how it became …
variety of tasks without giving much thought to the origins of the technology or how it became …
Artificial neural network discrimination for parameter estimation and optimal product design of thin films manufactured by chemical vapor deposition
G Kimaev, LA Ricardez-Sandoval - The Journal of Physical …, 2020 - ACS Publications
Industrial production of valuable chemical products often involves the manipulation of
phenomena evolving at different temporal and spatial scales. Product properties can be …
phenomena evolving at different temporal and spatial scales. Product properties can be …
Modeling and control of protein crystal shape and size in batch crystallization
In this work, the modeling and control of a batch crystallization process used to produce
tetragonal hen egg white lysozyme crystals are studied. Two processes are considered …
tetragonal hen egg white lysozyme crystals are studied. Two processes are considered …