Gupta, Vijay (Caltech), Dana, Amir F. (Caltech), Hespanha, Joao P. (Univ. of California, Santa Barbara), Murray, Richard M. (California Inst. of Tech.)

Data Transmission Over Networks for Estimation

Scheduled for presentation during the Mini-Symposium "Control and estimation of networked systems" (WeA10), Wednesday, July 26, 2006, 10:50−11:15, Room 103

17th International Symposium on Mathematical Theory of Networks and Systems, July 24-28, 2006, Kyoto, Japan

This information is tentative and subject to change. Compiled on April 20, 2024

Abstract

In this paper, we consider the following problem. Suppose a sensor is taking measurements of a dynamic process. It needs to communicate the information to an estimator over a network of communication links that can drop packets stochastically. What is the optimal processing at each node in the network that allows the estimator to estimate the state of the process? We provide a strategy that yields the optimal estimation performance in the minimum mean squared sense while requiring only a constant amount of memory and processing at each node. We also provide conditions on the network for the estimate error covariance to be stable under this algorithm.