As automotive manufacturing advances toward the industrial 5.0 era, traditional rigid automation production models are transitioning toward the embodied intelligence paradigm. Confronted with mass ...

Abstract: In this paper, the finite-iteration learning consensus formation control issue is studied for a class of multi-agent systems under dual-terminal switching topologies. The completion of ...

Abstract: The research topics related to learning control include adaptive control, neural-network control, and reinforcement learning, to name a few. Iterative learning control (ILC) is also a ...

"I love your posts, but my husband is afraid that if we allow our kids to get upset as you suggest, they'll never learn to control their emotions. Don't we need to just say No sometimes?" —Rachel All ...

The gamification of lectures is emerging as a promising avenue for meeting the challenges of engagement and interactivity in higher education. Quizzes, escape games, role-playing games... These ...

This work considers three main problems related to fast finite-iteration convergence (FIC), nonrepetitive uncertainty, and data-driven design. A data-driven robust finite-iteration learning control ...

Department of Chemical Engineering, Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong, and Institute of Intelligent Systems and Decision Making, Zhejiang University, ...

Hosted by the Institute for Global Tobacco Control (IGTC), the monthly Innovations in Tobacco Control lecture series welcomes key researchers and experts to share ideas, present their work, and spark ...

Although electronic health records (EHRs) have been widely adopted in health care, effective use of EHR data is often limited because of redundant information in clinical notes introduced by the use ...