On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage
By Vijay Gupta, Timothy H. Chung, Babak Hassibi, Richard M. Murray. at - Automatisierungstechnik, 2006
527 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/950d3b3cb934a9c43550bf2915212b3b599dae92
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Computer Networks and Communications
- W. M. Heemels
- Nathan van de Wouw
- Michael A. Demetriou
- Ling Shi
- Karl Henrik Johansson
- Emrah Akyol
- Andrew R. Teel
- João Pedra Hespanha
Citations in the corpus
- Optimal LQG control across packet-dropping links (2007, unknown): “The related problem of optimal estimation across a packet-dropping link was considered by Sinopoli et al in [19] and extended by Gupta et al in [ 15 ].”
- Sensor Selection via Convex Optimization (2009, background): “Sensor selection in the context of dynamical systems is studied in, e.g., [9]–[11].”
- Recent Research in Cooperative Control of Multivehicle Systems (2007, unknown): “Several groups have considered this problem [15, 34, 44]”
- Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality (2013, background): “[2] proposed a stochastic sensor scheduling scheme among multiple sensors for one process and”
- Controlled sensing and event based communication for remote estimation (2014, background): “Centralized problems where the estimator decides when to query a sensor or which sensor to query have been studied in [6], [7], [8], [9], [10].”
- Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective (2010, unknown): “The example was considered in [21].”
- Estimation of Spatially Distributed Processes Using Mobile Spatially Distributed Sensor Network (2009, background): “In [44], the authors use a stochastic approach to find the sensor schedule that results in the minimum error covariance of a state to be measured.”
- A Survey of Recent Results in Networked Control Systems (2007, background): “Gupta et al. [ 14 ] also consider the state estimation of the plant (5), but they impose the constraint that only one sensor can use the channel at each time step.”
- Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance (2010, background): “References that simultaneously consider two types of network-induced limitations are [5], [9], [13], [18], [25], [29], .”