A framework of hybrid model development with identification of plant‐model mismatch
Y Chen, M Ierapetritou - AIChE Journal, 2020 - Wiley Online Library
Hybrid modeling has attracted increasing attention in order to take advantage of the
additional data to improve process understanding. Current practice often adopts mechanistic …
additional data to improve process understanding. Current practice often adopts mechanistic …
[PDF][PDF] Model predict control method based on higher-order observer and disturbance compensation control
W Dong-Wei, F Yue - Acta Automatica Sinica, 2020 - aas.net.cn
By combining a higher-order observer with disturbance compensation control and standard
model predictive control (MPC), a novel MPC method is proposed for a discrete-time linear …
model predictive control (MPC), a novel MPC method is proposed for a discrete-time linear …
Explicit nonlinear MPC for fault tolerance using interacting multiple models
E Hill, SA Gadsden… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a novel algorithm for adaptive explicit nonlinear model predictive
control (eNMPC) with applications to fault tolerance. In order to account for plant-model …
control (eNMPC) with applications to fault tolerance. In order to account for plant-model …
基于高阶观测器和干扰补偿控制的模型预测控制方法
王东委, 富月 - 自动化学报, 2020 - aas.net.cn
针对状态不可测, 外部干扰未知, 并且状态和输入受限的离散时间线性系统, 将高阶观测器,
干扰补偿控制与标准模型预测控制(Model predictive control, MPC) 相结合 …
干扰补偿控制与标准模型预测控制(Model predictive control, MPC) 相结合 …
ODD-Centric Contextual Sensitivity Analysis Applied To A Non-Linear Vehicle Dynamics Model
Advanced driving functions, for assistance or full automation, require strong guarantees to
be deployed. This means that such functions may not be available all the time, like now …
be deployed. This means that such functions may not be available all the time, like now …
Sensitivity Analysis for Vehicle Dynamics Models–An Approach to Model Quality Assessment for Automated Vehicles
Model-based approaches have become increasingly popular in the domain of automated
driving. This includes runtime algorithms, such as Model Predictive Control, as well as …
driving. This includes runtime algorithms, such as Model Predictive Control, as well as …
Research on suspension control based on model mismatch compensator for maglev yaw system of wind turbines
G Cui, N Wang, B Su, B Cai… - 2019 Chinese Automation …, 2019 - ieeexplore.ieee.org
The yaw system is one of the important parts of the horizontal axis wind turbines. In this
paper, a control method combined model predictive control (MPC) with PID based on model …
paper, a control method combined model predictive control (MPC) with PID based on model …
Model Predictive Control Strategies for Fault Tolerance
E Hill - 2021 - atrium.lib.uoguelph.ca
Model predictive control (MPC) has become a widely used control strategy in aerospace,
process control, and automotive applications due to its optimization-based structure that …
process control, and automotive applications due to its optimization-based structure that …
[引用][C] HYBRID MODELING AND SYSTEM ANALYSIS FOR DIGITAL TWIN DEVELOPMENT OF CONTINUOUS PHARMACEUTICAL MANUFACTURING PROCESSES
Y Chen - 2023 - University of Delaware