A comprehensive overview of the dc-dc converter-based battery charge balancing methods in electric vehicles
With the development of electric vehicle (EV) technologies, efficient and reliable use of
rechargeable batteries (RBs) has become the key subject for automotive manufacturers …
rechargeable batteries (RBs) has become the key subject for automotive manufacturers …
Architectures for distributed and hierarchical model predictive control–a review
R Scattolini - Journal of process control, 2009 - Elsevier
The aim of this paper is to review and to propose a classification of a number of
decentralized, distributed and hierarchical control architectures for large scale systems …
decentralized, distributed and hierarchical control architectures for large scale systems …
Trajectory tracking control of an autonomous underwater vehicle using Lyapunov-based model predictive control
This paper studies the trajectory tracking control problem of an autonomous underwater
vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) …
vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) …
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation
Batch process control represents a challenge given its dynamic operation over a large
operating envelope. Nonlinear model predictive control (NMPC) is the current standard for …
operating envelope. Nonlinear model predictive control (NMPC) is the current standard for …
[图书][B] Constrained model predictive control
EF Camacho, C Bordons, EF Camacho, C Bordons - 2007 - Springer
The control problem was formulated in the previous chapters considering all signals to
possess an unlimited range. This is not very realistic because in practice all processes are …
possess an unlimited range. This is not very realistic because in practice all processes are …
A survey of industrial model predictive control technology
SJ Qin, TA Badgwell - Control engineering practice, 2003 - Elsevier
This paper provides an overview of commercially available model predictive control (MPC)
technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A …
technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A …
Model predictive control in industry: Challenges and opportunities
MG Forbes, RS Patwardhan, H Hamadah… - IFAC-PapersOnLine, 2015 - Elsevier
With decades of successful application of model predictive control (MPC) to industrial
processes, practitioners are now focused on ease of commissioning, monitoring, and …
processes, practitioners are now focused on ease of commissioning, monitoring, and …
Tutorial overview of model predictive control
JB Rawlings - IEEE control systems magazine, 2000 - ieeexplore.ieee.org
The paper provides a reasonably accessible and self-contained tutorial exposition on model
predictive control (MPC). It is aimed at readers with control expertise, particularly …
predictive control (MPC). It is aimed at readers with control expertise, particularly …
Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives
Y Shi, K Zhang - Annual Reviews in Control, 2021 - Elsevier
This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …
Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization
LT Biegler, VM Zavala - Computers & Chemical Engineering, 2009 - Elsevier
Integration of real-time optimization and control with higher level decision-making
(scheduling and planning) is an essential goal for profitable operation in a highly …
(scheduling and planning) is an essential goal for profitable operation in a highly …