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Integrating machine learning and model predictive control for automotive applications: A review and future directions
In this review paper, the integration of Machine Learning (ML) and Model Predictive Control
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …
[HTML][HTML] Real-time time-varying economic nonlinear model predictive control for wind turbines
Economic nonlinear model predictive control is a great choice to tackle the control issues
appearing in the current wind energy industry. In this paper, instead of generator power …
appearing in the current wind energy industry. In this paper, instead of generator power …
[HTML][HTML] Theoretical and experimental analysis of a new intelligent charging controller for off-board electric vehicles using PV standalone system represented by a …
Electric vehicles are rapidly infiltrating the power grid worldwide, initiating an immediate
need for a smart charging technique to maintain the stability and robustness of the charging …
need for a smart charging technique to maintain the stability and robustness of the charging …
Incorporating model predictive control with fuzzy approximation for robot manipulation under remote center of motion constraint
Remote center of motion (RCM) constraint has attracted many research interests as one of
the key challenges for robot-assisted minimally invasive surgery (RAMIS). Although it has …
the key challenges for robot-assisted minimally invasive surgery (RAMIS). Although it has …
[كتاب][B] Control over the cloud: Offloading, elastic computing, and predictive control
P Skarin - 2021 - lup.lub.lu.se
The thesis studies the use of cloud native software and platforms to implement critical closed
loop control. It considers technologies that provide low latency and reliable wireless …
loop control. It considers technologies that provide low latency and reliable wireless …
Resource-aware stochastic self-triggered model predictive control
This letter considers the control of uncertain systems operated under limited resource
factors, such as battery life or hardware longevity. We consider here resource-aware self …
factors, such as battery life or hardware longevity. We consider here resource-aware self …
Robust resource-aware self-triggered model predictive control
The wide adoption of wireless devices in the Internet of Things requires controllers that are
able to operate with limited resources, such as battery life. Operating these devices robustly …
able to operate with limited resources, such as battery life. Operating these devices robustly …
[PDF][PDF] Development of EV Charging Protocol Using AI for Fast Charging Under Dynamic Environment: Towards Vehicle to Grid Integration
PMT Besada - 2023 - core.ac.uk
This thesis focuses on the development of electric vehicle (EV) charging protocols under a
dynamic environment using artificial intelligence (AI), to achieve Vehicle-to-Grid (V2G) …
dynamic environment using artificial intelligence (AI), to achieve Vehicle-to-Grid (V2G) …
Decentralized Safety for Aggressively Maneuvering Multi-Robot Interactions
This work provides a decentralized approach to safety by combining tools from control
barrier functions (CBF) and nonlinear model predictive control (NMPC). It is shown how …
barrier functions (CBF) and nonlinear model predictive control (NMPC). It is shown how …
Predictive control with dynamic hysteresis reference trajectory: Application to a structural base-isolation model
Over the last decades, in the field of control engineering, Model Predictive Control (MPC)
has been successfully¿ employed in many industrial processes. This due to, among other …
has been successfully¿ employed in many industrial processes. This due to, among other …