3 papers
cs.NI2026
A Kafka-Centric Communication Fabric for Near-Real-Time, Cloud-Replicated Closed-Loop Manufacturing Process Control
Zhengyang, Gu, John Burtenshaw +2
Smart manufacturing needs to move sensor data off the plant floor, react to it, and feed decisions back to actuators within bounded time. Programmable logic controllers (PLCs) hand…
cs.LG2026
Augmenting PID Control with Deep Reinforcement Learning: A Hybrid Approach to the Industrial Benchmark
Zhengyang, Gu, Joseph E. Hernandez +4
As industrial processes grow in complexity, traditional Proportional-Integral-Derivative (PID) controllers are often insufficient for handling their non-linear, multi-input dynamic…
cs.LG2026
Benchmarking Hybrid Deep Learning Architectures for Predictive Maintenance in Industry 4.0
Zhengyang, Gu, Joseph E. Hernandez +4
Predictive maintenance in Industry 4.0 refers to using data from sensors, machines, and production systems to estimate when equipment is likely to fail, so maintenance can be plann…