[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 …

Hybrid Koopman model predictive control of nonlinear systems using multiple EDMD models: An application to a batch pulp digester with feed fluctuation

SH Son, HK Choi, J Moon, JSI Kwon - Control Engineering Practice, 2022 - Elsevier
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 …

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 …

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 …

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 …

Modeling and control of crystal shape in continuous protein crystallization

JSI Kwon, M Nayhouse, PD Christofides… - Chemical Engineering …, 2014 - Elsevier
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 …

Machine learning-based modeling and operation for ALD of SiO2 thin-films using data from a multiscale CFD simulation

Y Ding, Y Zhang, YM Ren, G Orkoulas… - … Research and Design, 2019 - Elsevier
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 …

[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 …

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 …

Modeling and control of protein crystal shape and size in batch crystallization

JSI Kwon, M Nayhouse, PD Christofides… - AIChE …, 2013 - Wiley Online Library
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 …