Uniformly Bounded State Estimation Over Multiple Access Channels

This article addresses the problem of distributed state estimation via
multiple access channels
(MACs). We consider a scenario where two encoders are simultaneously communicating their measurements through a noisy channel. First, the zero-error capacity region of the general
$M$
-input, single-output MAC is characterized using tools from nonstochastic information theory. Next, we show that a tight condition to be able to achieve uniformly bounded state estimation errors can be given in terms of the channel zero-error capacity region. This criterion relates the channel properties to the plant dynamics. These results pave the way toward understanding information flows in networked control systems with multiple transmitters.