Deep Learning for Wireless-Networked Systems: A Joint Estimation-Control–Scheduling Approach
Zihuai Zhao(Hong Kong Polytechnic University), Branka Vucetic(The University of Sydney), Daniel E. Quevedo(University of Newcastle Australia), Wanchun Liu(The University of Sydney), Yonghui Li(The University of Sydney)
Cited by 23
Related Papers
Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach
|IEEE Transactions on Automatic Control|2015|458
Recommender Systems in the Era of Large Language Models (LLMs)
|IEEE Transactions on Knowledge and Data Engineering|2024|335
Predictive control, embedded cyberphysical systems and systems of systems – A perspective
|Annual Reviews in Control|2016|74
Recommender Systems in the Era of Large Language Models (LLMs)
|arXiv (Cornell University)|2023|29
TokenRec: Learning to Tokenize ID for LLM-Based Generative Recommendations
|IEEE Transactions on Knowledge and Data Engineering|2025|9