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 ...

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 ...

H2O.ai, the leader in open-source Generative AI and the most accurate Predictive AI platforms, today announced the ...

In turbulent SaaS and B2B markets, causal AI enables marketers to defend their investments and optimize GTM strategies.

Dr. Roxana Redis: Retinal organoids have shown remarkable promise, especially in cases where traditional models fall short.

Dr. Sean Kalaycioglu explores advancing AI-enabled space robotics for lunar exploration and orbital operations ...