Kalman filtering theory
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
On the Timing of Discrete Events in Event-Driven Control Systems
HSCC '08 Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control
Brief paper: Sporadic event-based control of first-order linear stochastic systems
Automatica (Journal of IFAC)
Gaussian sum particle filtering
IEEE Transactions on Signal Processing
Event-based H∞ filtering for networked system with communication delay
Signal Processing
Event-based stabilization over networks with transmission delays
Journal of Control Science and Engineering - Special issue on Advances in Methods for Control over Networks
| Hi-index | 0.00 |
To reduce the amount of data transfer in networked control systems and wireless sensor networks, measurements are usually taken only when an event occurs, rather than at each synchronous sampling instant. However, this complicates estimation and control problems considerably. The goal of this paper is to develop a state estimation algorithm that can successfully cope with event based measurements. Firstly, we propose a general methodology for defining event based sampling. Secondly, we develop a state estimator with a hybrid update, i.e. when an event occurs the estimated state is updated using measurements; otherwise the update makes use of the knowledge that the monitored variable is within a bounded set that defines the event. A sum of Gaussians approach is employed to obtain a computationally tractable algorithm.