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 …
Home energy management systems: A review of modelling and complexity
M Beaudin, H Zareipour - Renewable and sustainable energy reviews, 2015 - Elsevier
The increasing demand for electricity and the emergence of smart grids have presented new
opportunities for home energy management systems (HEMS) in demand response markets …
opportunities for home energy management systems (HEMS) in demand response markets …
[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 …
Path tracking and direct yaw moment coordinated control based on robust MPC with the finite time horizon for autonomous independent-drive vehicles
H Peng, W Wang, Q An, C Xiang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
It is a striking fact that the characteristics of parametric uncertainties, external disturbance,
time-varying and nonlinearities are available in the constructed model of autonomous …
time-varying and nonlinearities are available in the constructed model of autonomous …
Model-predictive-control-based path tracking controller of autonomous vehicle considering parametric uncertainties and velocity-varying
S Cheng, L Li, X Chen, J Wu - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
The automated steering control technology is crucial for an autonomous vehicle, but due to
parametric uncertainties and time varying, the performance of automated steering control …
parametric uncertainties and time varying, the performance of automated steering control …
FORCES NLP: An efficient implementation of interior-point methods for multistage nonlinear nonconvex programs
Real-time implementation of optimisation-based control and trajectory planning can be very
challenging for nonlinear systems. As a result, if an implementation based on a fixed …
challenging for nonlinear systems. As a result, if an implementation based on a fixed …
[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 …
Constrained model predictive control: Stability and optimality
Model predictive control is a form of control in which the current control action is obtained by
solving, at each sampling instant, a finite horizon open-loop optimal control problem, using …
solving, at each sampling instant, a finite horizon open-loop optimal control problem, using …
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: past, present and future
More than 15 years after model predictive control (MPC) appeared in industry as an effective
means to deal with multivariable constrained control problems, a theoretical basis for this …
means to deal with multivariable constrained control problems, a theoretical basis for this …