A Partial Approximate Least Absolute Deviation-Based Identification Algorithm for a Multivariable Closed-Loop System with Spike Noise
B Xu, Y Wang, Z Meng, Y Chen, S Yin - Processes, 2023 - mdpi.com
Considering the stability and safety of industrial production, the open-loop system cannot
meet the requirements of industrial production, so more and more attention has been paid to …
meet the requirements of industrial production, so more and more attention has been paid to …
Multi-loop constrained iterative model predictive control using ARX-PLS decoupling structure
LÜ Yan, J Liang - Chinese journal of chemical engineering, 2013 - Elsevier
A multi-loop constrained model predictive control scheme based on autoregressive
exogenous-partial least squares (ARX-PLS) framework is proposed to tackle the high …
exogenous-partial least squares (ARX-PLS) framework is proposed to tackle the high …
[图书][B] Use of multivariate statistical methods for control of chemical batch processes
EBL Montero - 2016 - search.proquest.com
In order to meet tight product quality specifications for chemical batch processes, it is vital to
monitor and control product quality throughout the batch duration. However, the frequent …
monitor and control product quality throughout the batch duration. However, the frequent …
MPC: Relevant Identification and Control in the Latent Variable Space
D Laurí Pla - 2012 - riunet.upv.es
ABSTRACT Model-based Predictive Control (MPC) is widely used in Industry due to its
ability to handle multivariate systems subject to input and output constraints. Two phases …
ability to handle multivariate systems subject to input and output constraints. Two phases …