Title | ||
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Event-Based H∞ State Estimation for Time-Varying Stochastic Dynamical Networks With State- and Disturbance-Dependent Noises. |
Abstract | ||
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In this paper, the event-based finite-horizon H∞ state estimation problem is investigated for a class of discrete time-varying stochastic dynamical networks with stateand disturbance-dependent noises [also called (x, v)-dependent noises]. An event-triggered scheme is proposed to decrease the frequency of the data transmission between the sensors and the estimator, where the signal is transmitted o... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TNNLS.2016.2580601 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Complex networks,State estimation,Stochastic processes,Synchronization,Sensors,Symmetric matrices,Difference equations | Synchronization,Data transmission,Control theory,Stochastic process,Symmetric matrix,Complex network,Finite horizon,Mathematics,Recursion,Estimator | Journal |
Volume | Issue | ISSN |
28 | 10 | 2162-237X |
Citations | PageRank | References |
3 | 0.40 | 27 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Li Sheng | 1 | 125 | 15.24 |
Zidong Wang | 2 | 11003 | 578.11 |
Lei Zou | 3 | 272 | 14.02 |
Fuad E. Alsaadi | 4 | 1818 | 102.89 |