Sustainable building climate control with renewable energy sources using nonlinear model predictive control
Sustainable energy sources are promising solutions for reducing carbon footprint and
environmental impacts within the building sectors. Reducing energy consumption while …
environmental impacts within the building sectors. Reducing energy consumption while …
A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
MQ Raza, A Khosravi - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
Electrical load forecasting plays a vital role in order to achieve the concept of next
generation power system such as smart grid, efficient energy management and better power …
generation power system such as smart grid, efficient energy management and better power …
Model predictive control in aerospace systems: Current state and opportunities
CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …
Handbook of model predictive control
SV Rakovic, WS Levine - 2018 - Springer
Saša V. Rakovic William S. Levine Editors Page 1 Control Engineering Saša V. Rakovic William
S. Levine Editors Handbook of Model Predictive Control Page 2 Page 3 Control Engineering …
S. Levine Editors Handbook of Model Predictive Control Page 2 Page 3 Control Engineering …
Resilient model predictive control of cyber–physical systems under DoS attacks
This article presents a resilient model predictive control (MPC) framework to attenuate
adverse effects of denial-of-service (DoS) attacks for cyber-physical systems (CPSs), where …
adverse effects of denial-of-service (DoS) attacks for cyber-physical systems (CPSs), where …
Learning an approximate model predictive controller with guarantees
A supervised learning framework is proposed to approximate a model predictive controller
(MPC) with reduced computational complexity and guarantees on stability and constraint …
(MPC) with reduced computational complexity and guarantees on stability and constraint …
Distributed model predictive control: A tutorial review and future research directions
In this paper, we provide a tutorial review of recent results in the design of distributed model
predictive control systems. Our goal is to not only conceptually review the results in this area …
predictive control systems. Our goal is to not only conceptually review the results in this area …
Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization
Being a primary contributor to global energy consumption and energy-related carbon
emissions, the building and building construction sectors are a crucial player in the …
emissions, the building and building construction sectors are a crucial player in the …
[ΒΙΒΛΙΟ][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 …