Control of fermenters–a review

K Yamuna Rani, VS Ramachandra Rao - Bioprocess Engineering, 1999 - Springer
Fermenter control has been an active area of research and has attracted more attention in
recent years. This is due to the new developments in other related areas which can be …

[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 …

Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter

VA Bavdekar, AP Deshpande, SC Patwardhan - Journal of Process control, 2011 - Elsevier
The performance of Bayesian state estimators, such as the extended Kalman filter (EKF), is
dependent on the accurate characterisation of the uncertainties in the state dynamics and in …

Performance-oriented model learning for control via multi-objective Bayesian optimization

G Makrygiorgos, AD Bonzanini, V Miller… - Computers & Chemical …, 2022 - Elsevier
The closed-loop performance of model-based controllers, such as model predictive control,
largely depends on the quality of their underlying model of system dynamics. Inspired by the …

Dynamical modelling, analysis, monitoring and control design for nonlinear bioprocesses

D Dochain, M Perrier - Biotreatment, Downstream Processing and …, 2006 - Springer
This paper is a survey on methods which have been developed and applied in the field of
dynamical modelling, analysis, monitoring and control design of bioprocesses over the past …

An internal model control strategy for nonlinear systems

MA Henson, DE Seborg - AIChE Journal, 1991 - Wiley Online Library
An internal model control (IMC) strategy for nonlinear single‐input single‐output systems is
proposed. The controller is designed to provide nominal performance, and a nonlinear filter …

Adversarially robust Bayesian optimization for efficient auto‐tuning of generic control structures under uncertainty

JA Paulson, G Makrygiorgos, A Mesbah - AIChE Journal, 2022 - Wiley Online Library
The performance of optimization‐and learning‐based controllers critically depends on the
selection of several tuning parameters that can affect the closed‐loop control performance …

Multiple model LPV approach to nonlinear process identification with EM algorithm

X Jin, B Huang, DS Shook - Journal of Process Control, 2011 - Elsevier
This paper is concerned with the identification of a nonlinear process which operates over
several working points with consideration of transition dynamics between the working points …

[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 …

Echo state neural network based on an improved gray wolf algorithm predicts porosity through logging data

S Youzhuang, Z Junhua, Z Yongan - ACS omega, 2023 - ACS Publications
In oil exploration and development, many reservoir parameters are very essential for
reservoir description, especially porosity. The porosity obtained by indoor experiments is …