University of Chinese Academy of Sciences, Beijing 100871, China., Beihang University, Beijing 100871, China.
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Variance-constrained state estimation for nonlinear complex networks with uncertain coupling strength
- Wenling Li, Jian Sun, Y. Jia, Junping Du, X. Fu
- Mathematics, Computer Science
- Digit. Signal Process.
- 1 August 2017
The purpose of this problem is to design a recursive state estimator such that, for all admissible coupling strength uncertainties and linearized errors of nonlinear functions, the estimation error is mean square bounded and the variance of the estimationerror is not more than the prescribed upper bound. Expand
Recursive State Estimation for Discrete-Time Nonlinear Complex Networks
The purpose is to design a recursive state estimator by using the variance-constrained approach such that the variance of the estimation error is not more than the prescribed upper bound. Expand
EKF-based state estimation for nonlinear complex networks
This paper studies the state estimation problem for a class of discrete-time nonlinear complex networks. A recursive state estimator is developed by employing the structure of the extended Kalman… Expand