On the complexity and approximability of optimal sensor selection and attack for Kalman filtering
L Ye, N Woodford, S Roy… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Given a linear dynamical system affected by stochastic noise, we consider the problem of
selecting an optimal set of sensors (at design time) to minimize the trace of the steady-state …
selecting an optimal set of sensors (at design time) to minimize the trace of the steady-state …
[PDF][PDF] On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
L Ye, N Woodford, S Roy… - arXiv preprint arXiv …, 2020 - researchgate.net
Given a linear dynamical system affected by stochastic noise, we consider the problem of
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
L Ye, N Woodford, S Roy, S Sundaram - arXiv preprint arXiv:2003.11951, 2020 - arxiv.org
Given a linear dynamical system affected by stochastic noise, we consider the problem of
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
L Ye, N Woodford, S Roy, S Sundaram… - IEEE Transactions on …, 2020 - computer.org
Given a linear dynamical system affected by stochastic noise, we consider the problem of
selecting at design-time an optimal set of sensors to minimize the trace of the steady state a …
selecting at design-time an optimal set of sensors to minimize the trace of the steady state a …
[PDF][PDF] On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
L Ye, N Woodford, S Roy, S Sundaram - ieeexplore.ieee.org
Given a linear dynamical system affected by stochastic noise, we consider the problem of
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …
[PDF][PDF] On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
L Ye, N Woodford, S Roy, S Sundaram - IEEE Transactions on Automatic …, 2020 - par.nsf.gov
Given a linear dynamical system affected by stochastic noise, we consider the problem of
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
L Ye, N Woodford, S Roy, S Sundaram - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Given a linear dynamical system affected by stochastic noise, we consider the problem of
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …
selecting an optimal set of sensors (at design-time) to minimize the trace of the steady state …