This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning by X. Zhang, K. Zhang, Z. Li, and X. Yin. The objective of this ...

Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO ...

This study introduces a novel distributed model predicted control (DMPC) method for cooperative control of a CAV platoon subject to Markov communication packet loss. Firstly, the vehicle platoon ...

Abstract: Model predictive control (MPC) is a practical method for addressing control issues in constrained systems. System identification and constrained optimization are two key problems that affect ...

Objective Systemic lupus erythematosus (SLE) is an autoimmune disease characterised by a loss of immune tolerance, affecting ...

As AI becomes more integral to business operations, it also introduces significant, often overlooked, security and compliance ...

In the context of environmental protection and energy transition today, the research and development of new energy vehicles has become a global focus. As one of the core basic theories of performance ...

A look at Volkswagen's approach to the future of fleets, featuring updates to iconic models, advancements in hybrid and EV ...

Built for industries like finance, telco, healthcare, and government, h2oGPTe’s multi-agent AI system autonomously manages ...