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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…