Model predictive control and its application in agriculture: A review
Y Ding, L Wang, Y Li, D Li - Computers and Electronics in Agriculture, 2018 - Elsevier
Agriculture plays a decisive role in the survival of humankind. The efficient and precise
regulation of agriculture will ensure the welfare of people throughout the world. However …
regulation of agriculture will ensure the welfare of people throughout the world. However …
[HTML][HTML] Data-driven model predictive control for precision irrigation management
E Bwambale, FK Abagale, GK Anornu - Smart Agricultural Technology, 2023 - Elsevier
The future of agriculture faces a threat from a changing climate and a rapidly growing
population. This has put enormous pressure on water and land resources as more food is …
population. This has put enormous pressure on water and land resources as more food is …
Economic model predictive control of large-scale urban road networks via perimeter control and regional route guidance
II Sirmatel, N Geroliminis - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
Local traffic control schemes fall short of achieving coordination with other parts of the urban
road network, whereas a centralized controller based on the detailed traffic models would …
road network, whereas a centralized controller based on the detailed traffic models would …
ACP-based parallel railway traffic management for high-speed trains in case of emergencies
M Zhou, W Xu, X Liu, Z Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The handling of emergencies like severe wind and foreign matter collision in high-speed
railways is a typical human-in-the-loop complex task. Conventional approaches find it …
railways is a typical human-in-the-loop complex task. Conventional approaches find it …
Train traffic control in merging stations: A data-driven approach
Railway operations are subject to deviations from the planned schedule, ie, delays. In those
situations, high-quality traffic control actions are needed to reduce the delays. Existing …
situations, high-quality traffic control actions are needed to reduce the delays. Existing …
Decomposition and distributed optimization of real-time traffic management for large-scale railway networks
This paper introduces decomposition and distributed optimization approaches for the real-
time railway traffic management problem considering microscopic infrastructure …
time railway traffic management problem considering microscopic infrastructure …
An MPC-based rescheduling algorithm for disruptions and disturbances in large-scale railway networks
G Cavone, T van den Boom, L Blenkers… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Railways are a well-recognized sustainable transportation mode that helps to satisfy the
continuously growing mobility demand. However, the management of railway traffic in large …
continuously growing mobility demand. However, the management of railway traffic in large …
Reinforcement learning for online dispatching policy in real-time train timetable rescheduling
Train Timetable Rescheduling (TTR) is a crucial task in the daily operation of high-speed
railways to maintain punctuality and efficiency in the presence of unexpected disturbances …
railways to maintain punctuality and efficiency in the presence of unexpected disturbances …
Integrated condition-based track maintenance planning and crew scheduling of railway networks
We develop a multi-level decision making approach for optimal condition-based
maintenance planning of a railway network divided into a large number of sections with …
maintenance planning of a railway network divided into a large number of sections with …
Real-time train scheduling with uncertain passenger flows: a scenario-based distributed model predictive control approach
Real-time train scheduling is essential for passenger satisfaction in urban rail transit
networks. This paper focuses on real-time train scheduling for urban rail transit networks …
networks. This paper focuses on real-time train scheduling for urban rail transit networks …