Optimal sensor scheduling in nonlinear filtering of diffusion processes
SIAM Journal on Control and Optimization
Brief Control parametrization enhancing technique for optimal discrete-valued control problems
Automatica (Journal of IFAC)
Simulation-based optimal sensor scheduling with application to observer trajectory planning
Automatica (Journal of IFAC)
Brief paper: Hybrid method for a general optimal sensor scheduling problem in discrete time
Automatica (Journal of IFAC)
Fast sensor scheduling for spatially distributed heterogeneous sensors
ACC'09 Proceedings of the 2009 conference on American Control Conference
Scheduling Kalman filters in continuous time
ACC'09 Proceedings of the 2009 conference on American Control Conference
Continuous trajectory planning of mobile sensors for informative forecasting
Automatica (Journal of IFAC)
On the Network Coverage Intensity in the Presence of Clock Asynchrony
Wireless Personal Communications: An International Journal
Hi-index | 22.15 |
Let N be the number of available sensor sources. Noisy observations of an underlying state process are available for these N sources. We consider the continuous time sensor scheduling problem in which N"1 of these N sources are to be chosen to collect data at each time point. This sensor scheduling problem (with switching costs and switching constraints) is formulated as a constrained optimal control problem. In this framework, the controls represent the sensors that are chosen at a particular time. Thus, the control variables are constrained to take values in a discrete set, and switchings between sensors can occur in continuous time. By incorporating recent results on discrete valued optimal control, we show that this problem can be transformed into an equivalent continuous optimal control problem. In this way, we obtain the sensor scheduling policy as well as the associated switching times.