| 1 |
Approximate Supermodularity of Kalman Filter Sensor Selection
Chamon LFO, Pappas GJ, Ribeiro A
IEEE Transactions on Automatic Control, 66(1), 49, 2021 |
| 2 |
Randomized Greedy Sensor Selection: Leveraging Weak Submodularity
Hashemi A, Ghasemi M, Vikalo H, Topcu U
IEEE Transactions on Automatic Control, 66(1), 199, 2021 |
| 3 |
Optimizing Leader Influence in Networks Through Selection of Direct Followers
Mai V, Abed EH
IEEE Transactions on Automatic Control, 64(3), 1280, 2019 |
| 4 |
Submodularity of Storage Placement Optimization in Power Networks
Qin JJ, Yang I, Rajagopal R
IEEE Transactions on Automatic Control, 64(8), 3268, 2019 |
| 5 |
Performance Improvement in Noisy Linea Consensus Networks With Time-Delay
Ghaedsharaf Y, Siami M, Somarakis C, Motee N
IEEE Transactions on Automatic Control, 64(6), 2457, 2019 |
| 6 |
Growing Linear Dynamical Networks Endowed by Spectral Systemic Performance Measures
Siami M, Motee N
IEEE Transactions on Automatic Control, 63(7), 2091, 2018 |
| 7 |
Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms
Zhang HT, Ayou R, Sundaram S
Automatica, 78, 202, 2017 |
| 8 |
Submodularity and greedy algorithms in sensor scheduling for linear dynamical systems
Jawaid ST, Smith SL
Automatica, 61, 282, 2015 |
| 9 |
A Metric Between Probability Distributions on Finite Sets of Different Cardinalities and Applications to Order Reduction
Vidyasagar M
IEEE Transactions on Automatic Control, 57(10), 2464, 2012 |
