Multi-process control using queuing theory

We show how the problem of controlling multiple linear processes over a limited number of communication channels, i.e. by scheduling the control attention between the different processes, can be cast as a queuing problem. By defining Lyapunov-like functions for the individual subsystems, that can be interpreted as the queue lengths, we can produce suboptimal but computationally feasible solutions using standard results on optimal control of queues.