An analogue of Shannon information theory for networked control systems: State estimation via a noisy discrete channel

@article{Matveev2004AnAO,
  title={An analogue of Shannon information theory for networked control systems: State estimation via a noisy discrete channel},
  author={Alexey S. Matveev and A. Savkin},
  journal={2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)},
  year={2004},
  volume={4},
  pages={4485-4490 Vol.4}
}
The paper addresses a state estimation problem involving bit-rate communication capacity constraints. A discrete-time partially observed linear system is studied. Unlike the classic theory, the sensor signals are transmitted to the estimator over a noisy digital communication channel. A recursive coder-decoder state estimation scheme is proposed and investigated. It is shown that the classic Shannon's noisy channel capacity constitutes the border separating the cases where the reliable state… CONTINUE READING
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