Adaptive embedded control of cyber-physical systems using reinforcement learning.

Embedded control parameters of cyber-physical systems (CPS), such as sampling rate, are typically invariant and designed with a worst case scenario in mind. In an over-engineered system, control parameters are assigned values that satisfy system-wide performance requirements at the expense of excessive energy and resource overheads. Dynamic and adaptive control parameters can reduce the overhead b...