Global Synchronization for Discrete-Time Stochastic Complex Networks With Randomly Occurred Nonlinearities and Mixed Time Delays

By Zidong Wang, Yao Wang, Yurong Liu. IEEE Transactions on Neural Networks, 2010

497 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/089c8aeef6684ce024ec76bed517058c8a982d84

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Zidong Wang
2. Huijun Gao
3. Xiaohui Liu
4. Jinling Liang
5. Yang Tang
6. Jürgen Kurths
7. Wei Zou
8. Guoliang Wei

Citations in the corpus

• Finite-horizon H∞ filtering for time-varying delay systems with randomly varying nonlinearities and sensor saturations (2014, background): “…and named with randomly occurring nonlinearities (RONs) and randomly occurring sensor saturations (ROSSs) in Wang et al. (2012) and Shen et al. (2010) and further studied in Shen, Wang, Shu, and Wei (2011), Wang, Wang, and Liu (2010), Wei et al. (2013), Ding, Wang, Shen, and Shu (2012).”
• Probability‐dependent gain‐scheduled control for discrete stochastic delayed systems with randomly occurring nonlinearities (2013, methodology): “It is, therefore, one of the objectives of this paper to extend the RON model in [17, 18] to the time-varying one by pursuing the time-varying gain-scheduled controller design based on the time-varying probability.”
• A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements (2016, unknown): “Noting the importance and popularity of the complex networks, increasing research attention has been devoted to various aspects of the network structure [14,15,26].”
• Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings (2013, methodology): “By introducing stochastic variables κ m ( t ) to represent the occurrence of nonlinearities, where E { κ m ( t ) } = κ m , we can also rewrite the system (1) as follows: Remark 1: RONs are considered to model a complex network in [32], and its synchronization was studied.”