Public health after the COVID-19 pandemic must transform into a more effective force for improving health, especially in those marginalized communities that are at highest risk. Lessons from the ...
Abstract: Designing an efficient learning-based model predictive control (MPC) framework for ducted-fan unmanned aerial vehicles (DFUAVs) is a difficult task due to several factors involving uncertain ...
Abstract: Agent-based model predictive control (AMPC) has recently been proposed as a distributed scheme that collaborates with all agents to achieve optimal holistic performance. However, its ...