Name
Abstract | ||
|---|---|---|
We consider the problem of sensor and actuator (SaA) placement to minimize an infinite-horizon linear quadratic Gaussian (LQG) cost for a discrete-time Gauss–Markov system. Due to financial, topology, and bandwidth limitations, only a subset of SaAs can be selected for placement. Different from existing literature, which successively iterates partial selection to reach a suboptimal solution, this ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TAC.2021.3055194 | IEEE Transactions on Automatic Control |
Keywords | DocType | Volume |
Actuators,Resource management,Optimization,Topology,Linear systems,Approximation algorithms,Upper bound | Journal | 67 |
Issue | ISSN | Citations |
1 | 0018-9286 | 1 |
PageRank | References | Authors |
0.35 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lingying Huang | 1 | 1 | 0.35 |
| Junfeng Wu | 2 | 428 | 33.16 |
| Yilin Mo | 3 | 891 | 51.51 |
| Ling Shi | 4 | 1717 | 107.86 |