Abstract: Control barrier functions (CBFs) are a popular approach to design feedback laws that achieve safety guarantees for nonlinear systems. The CBF-based controller design relies on the ...

Abstract: Due to the rapid development of urban rail transit and the expansion of new lines, accurately predicting the passenger flow of newly expanding subway lines has become increasingly important.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...