On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering

Article

Abstract: Given a linear dynamical system affected by stochastic noise, we consider the problem of selecting a

Palabras claves:

Computational complexity, greedy algorithms, Kalman filters, Optimization, sensor systems, State Estimation

Autores:

Sandip Roy, Sundaram S., Woodford N., Ye L.

Fuentes:

scopus