Review on model predictive control: An engineering perspective
Abstract Model-based predictive control (MPC) describes a set of advanced control
methods, which make use of a process model to predict the future behavior of the controlled …
methods, which make use of a process model to predict the future behavior of the controlled …
[HTML][HTML] Characterising the Digital Twin: A systematic literature review
While there has been a recent growth of interest in the Digital Twin, a variety of definitions
employed across industry and academia remain. There is a need to consolidate research …
employed across industry and academia remain. There is a need to consolidate research …
[PDF][PDF] 模型预测控制——现状与挑战
席裕庚, 李德伟, 林姝 - 自动化学报, 2013 - aas.net.cn
摘要30 多年来, 模型预测控制(Model predictive control, MPC) 的理论和技术得到了长足的发展,
但面对经济社会迅速发展对约束优化控制提出的不断增长的要求, 现有的模型预测控制理论和 …
但面对经济社会迅速发展对约束优化控制提出的不断增长的要求, 现有的模型预测控制理论和 …
State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field
Y Yao, DK Shekhar - Building and Environment, 2021 - Elsevier
Building systems are subject of dynamic system that have a general feature of non-linearity
and in turn, present us with different challenges for its optimized control of energy-saving …
and in turn, present us with different challenges for its optimized control of energy-saving …
Model predictive control of power electronic systems: Methods, results, and challenges
Model predictive control (MPC) has established itself as a promising control methodology in
power electronics. This survey paper highlights the most relevant MPC techniques for power …
power electronics. This survey paper highlights the most relevant MPC techniques for power …
All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges
S Aggarwal, N Kumar - Computer communications, 2020 - Elsevier
Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …
[图书][B] Data-driven science and engineering: Machine learning, dynamical systems, and control
SL Brunton, JN Kutz - 2022 - books.google.com
Data-driven discovery is revolutionizing how we model, predict, and control complex
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
Guidelines for the design of finite control set model predictive controllers
P Karamanakos, T Geyer - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
Direct model predictive control (MPC) with reference tracking, also referred to as finite
control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the …
control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the …
Process systems engineering–the generation next?
Abstract Process Systems Engineering (PSE) is the scientific discipline of integrating scales
and components describing the behavior of a physicochemical system, via mathematical …
and components describing the behavior of a physicochemical system, via mathematical …