Sundaram S.
9
Coauthors
4
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2018 | 2 |
| 2020 | 1 |
| 2021 | 1 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Algoritmo | 4 |
| Optimización matemática | 2 |
| Estadísticas | 1 |
| Teoría de control | 1 |
| Control óptimo | 1 |
| Sensor | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Ciencias de la computación | 4 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 4 |
| Google Scholar | 0 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Sandip Roy | 4 |
| Ye L. | 3 |
| Xue M. | 1 |
| Woodford N. | 1 |
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Top Keywords
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Publicaciones del autor
Graph-Theoretic Analysis of Estimators for Stochastically-Driven Diffusive Network Processes
Conference ObjectAbstract: Monitoring of a linear diffusive network dynamics that is subject to a stationary stochastic input iPalabras claves:Autores:Sandip Roy, Sundaram S., Xue M.Fuentes:scopusOptimal Sensor Placement for Kalman Filtering in Stochastically Forced Consensus Networks
Conference ObjectAbstract: Given a linear dynamical system affected by noise, we consider the problem of optimally placing sensPalabras claves:Autores:Sandip Roy, Sundaram S., Ye L.Fuentes:scopusResilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms
ArticleAbstract: Given a linear dynamical system affected by noise, we study the problem of optimally placing sensorsPalabras claves:Kalman filters, Networked control systems, Optimization, sensor systems, State EstimationAutores:Sandip Roy, Sundaram S., Ye L.Fuentes:scopusOn the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
ArticleAbstract: Given a linear dynamical system affected by stochastic noise, we consider the problem of selecting aPalabras claves:Computational complexity, greedy algorithms, Kalman filters, Optimization, sensor systems, State EstimationAutores:Sandip Roy, Sundaram S., Woodford N., Ye L.Fuentes:scopus