Results 11 to 20 of about 410,243 (313)

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, Carlo Manna, Fred Spiessens, Lieve Helsen   +3 more
openaire   +2 more sources

Prediction Horizon-varying Model Predictive Control (MPC)for Autonomous Vehicle Control

Electronics
Abstract 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, Jiaqin Lai, Peixin Li, Omar I. Awad, Yubing Zhu   +4 more
openaire   +2 more sources

Model Predictive Control: MPC's Role in the Evolution of Power Electronics

IEEE Industrial Electronics Magazine, 2015
The evolution of power electronics and its control has been mainly driven by industry applications and influenced by the development achieved in several technologies, such as power semiconductors, converter topologies, automatic control, and analog and digital electronics. Digital signal processors (DSPs), in particular, have experienced an exponential
Kouro, S., Perez, M.A., Rodriguez, J., Llor, A.M., Young, H.A.   +4 more
openaire   +5 more sources

do-mpc: Towards FAIR nonlinear and robust model predictive control

Control Engineering Practice, 2023
Felix Fiedler, Benjamin Karg, Lukas Lüken, Dean Brandner, Moritz Heinlein, Felix Brabender, Sergio Lucia   +6 more
openaire   +2 more sources

Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms [PDF]

IEEE Robotics and Automation Letters, 2022
Model Predictive Control (MPC) has become a popular framework in embedded control for high-performance autonomous systems. However, to achieve good control performance using MPC, an accurate dynamics model is key.
Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, M. Pavone, D. Scaramuzza, Markus Ryll   +5 more
semanticscholar   +1 more source

Temporal Difference Learning for Model Predictive Control [PDF]

International Conference on Machine Learning, 2022
Data-driven model predictive control has two key advantages over model-free methods: a potential for improved sample efficiency through model learning, and better performance as computational budget for planning increases.
Nicklas Hansen, Xiaolong Wang, H. Su
semanticscholar   +1 more source

A Survey on Learning-Based Model Predictive Control: Toward Path Tracking Control of Mobile Platforms

Applied Sciences, 2022
The learning-based model predictive control (LB-MPC) is an effective and critical method to solve the path tracking problem in mobile platforms under uncertain disturbances.
Kanghua Zhang, Jixin Wang, Xueting Xin, Xiang Li, Chuanwen Sun, Jianfei Huang, Weikang Kong   +6 more
doaj   +1 more source

Trends of optimal dispatching of microgrid for fishery based on model predictive control

Information Processing in Agriculture, 2022
As a constrained optimization strategy, model predictive control (MPC) is widely used in the optimal dispatch of microgrids. Rolling optimization and feedback correction strategy can effectively deal with the impact due to the system uncertainty and ...
Ran Zhao, Maozhi Miao, Yuntao Ju
doaj   +1 more source

Comparative analysis of control methods with predictive models of six-phase permanent magnet synchronous motor [PDF]

Омский научный вестник, 2020
This article presents a comparison of the performance of the sixphase permanent magnet motor (PMSM) based on two control methods: continuous control set model predictive control (CCSMPC) and a finite control set model predictive control (FCSMPC).
A. A. R. Rahim, S. N. Kladiev, S. Saeidi
doaj   +1 more source

Predictive MPC-Based Operation of Urban Drainage Systems Using Input Data-Clustered Artificial Neural Networks Rainfall Forecasting Models

Hydrology, 2023
The model predictive control (MPC) approach can be implemented in either a reactive (RE-) or predictive (PR-) manner to control the operation of urban drainage systems (UDSs).
Fatemeh Jafari, S. Jamshid Mousavi, Kumaraswamy Ponnambalam   +2 more
doaj   +1 more source