Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
To meet emerging regulatory expectations, AI governance in financial services must incorporate two complementary structural ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
src/ ├─ px4ctrl/ # ESO-NMPC controller core ├─ sim_rc/ # Remote control simulator │ └─ sim_rc_node # Gazebo RC simulation node ├─ utils/ # Dependency packages │ ├─ cmake_utils/ # CMake configuration ...
This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...
Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...
Abstract: This article investigates the nonlinear model predictive control (NMPC) for electric bus operations (EBOs) under dynamic environments, based on the generalized disjunctive programming (GDP) ...
Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona 85287, United States ...
Abstract: This paper proposes a novel model predictive control design for Internet of Things (IoT) applications by using the generalized opposition-based learning particle swarm optimization algorithm ...