Event-triggered robust distributed state estimation for sensor networks with state-dependent noises |
| |
| Authors: | Hongli Dong Zidong Wang Fuad E Alsaadi Bashir Ahmad |
| |
| Affiliation: | 1. College of Electrical and Information Engineering, Northeast Petroleum University, Daqing, China.;2. Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany.hongli.dong@uni-due.de;4. Department of Computer Science, Brunel University, Uxbridge, UK.;5. Faculty of Engineering, Communication Systems and Networks (CSN) Research Group, King Abdulaziz University, Jeddah, Saudi Arabia.;6. Faculty of Engineering, Communication Systems and Networks (CSN) Research Group, King Abdulaziz University, Jeddah, Saudi Arabia.;7. Department of Mathematics, King Abdulaziz University, Jeddah, Saudi Arabia. |
| |
| Abstract: | This paper is concerned with the event-triggered distributed state estimation problem for a class of uncertain stochastic systems with state-dependent noises and randomly occurring uncertainties over sensor networks. An event-triggered communication scheme is proposed in order to determine whether the measurements on each sensor should be transmitted to the estimators or not. The norm-bounded uncertainty enters into the system in a random way. Through available output measurements from not only the individual sensor but also its neighbouring sensors, a sufficient condition is established for the desired distributed estimator to ensure that the estimation error dynamics are exponentially mean-square stable. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities, and then the explicit expression is given for the distributed estimator gains. Finally, a simulation example is provided to show the effectiveness of the proposed event-triggered distributed state estimation scheme. |
| |
| Keywords: | distributed state estimation randomly occurring uncertainties state-dependent noises sensor networks |
|
|
