Reinforced model predictive control (RL-MPC) for building energy management
Applied Energy, 2022 sponsorship: This work emerged from the IBPSA Project 1, an international project conducted under the umbrella of the International Building Performance Simulation Association (IBPSA) . Project 1 will develop and demonstrate a BIM/GIS and Modelica Framework for building and community energy system design and operation.
Javier Arroyo +3 more
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Model Predictive Control with Integral Action: A simple MPC algorithm [PDF]
Modeling, Identification and Control, 2015 A simple Model Predictive Control (MPC) algorithm of velocity (incremental) form is presented.The proposed MPC controller is insensitive to slowly varying system and measurement trends and thereforehas integral action.
David Di Ruscio
doaj +5 more sources
PF-MPC: Particle filter-model predictive control [PDF]
Systems & Control Letters, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dominik Stahl, Jan Hauth
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MPC@CB Software : A solution for Model Predictive Control [PDF]
, 2008 This paper deals with a reusable simulation computer code (MPC@CB ). The original program was developed under Matlab for single input single output (SISO) model predictive control (MPC) for any constrained optimization problem (trajectory tracking, processing time minimization...).
Bruno da Silva +3 more
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Prediction Horizon-varying Model Predictive Control (MPC)for Autonomous Vehicle Control [PDF]
ElectronicsAbstract The prediction horizon is a key parameter in model predictive control (MPC), related to the effectiveness and stability of model predictive control. In vehicle control, the selection of prediction horizon is influenced by factors such as speed, path curvature, and target point density.
Zhenbin Chen +4 more
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Extremum Seeking-based Iterative Learning Model Predictive Control (ESILC-MPC) [PDF]
IFAC-PapersOnLine, 2015 In this paper, we study a tracking control problem for linear time-invariant systems, with model parametric uncertainties, under input and states constraints. We apply the idea of modular design introduced in Benosman et al. 2014, to solve this problem in the model predictive control (MPC) framework.
Anantharaman Subbaraman +1 more
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A Novel CCS-MPC Algorithm for SPMSM Position Control with Innovative Constraint Processing Strategy [PDF]
SensorsIn this study, we develop a novel continuous control set model predictive control (NCCS-MPC) strategy for surface-mounted PMSM (SPMSM) position control, which consists of the improved multi-step model predictive position control (IMS-MPPC) algorithm and ...
Lingbo Kong +4 more
doaj +2 more sources
Convergence and stability analysis of the Extended Infinite Horizon Model Predictive Control. [PDF]
PLoS ONEModel Predictive Control (MPC) is a popular technology to operate industrial systems. It refers to a class of control algorithms that use an explicit model of the system to obtain the control action by minimizing a cost function.
Luz A Alvarez +2 more
doaj +2 more sources
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control [PDF]
2024 IEEE International Conference on Robotics and Automation (ICRA), 2023 Model-based reinforcement learning (RL) has shown great promise due to its sample efficiency, but still struggles with long-horizon sparse-reward tasks, especially in offline settings where the agent learns from a fixed dataset. We hypothesize that model-based RL agents struggle in these environments due to a lack of long-term planning capabilities ...
Rohan Chitnis +6 more
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DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
IEEE Robotics and Automation LettersThe first two authors contributed equally to this ...
Ran Tao +4 more
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