Exponential H∞ Synchronization and State Estimation for Chaotic Systems Via a Unified Model

Abstract

In this paper, H∞ synchronization and state estimation problems are considered for different types of chaotic systems. A unified model consisting of a linear dynamic system and a bounded static nonlinear operator is employed to describe these chaotic systems, such as Hopfield neural networks, cellular neural networks, Chua's circuits, unified chaotic… (More)
DOI: 10.1109/TNNLS.2013.2251000

Topics

Cite this paper

@article{Liu2013ExponentialHS, title={Exponential H∞ Synchronization and State Estimation for Chaotic Systems Via a Unified Model}, author={Meiqin Liu and Senlin Zhang and Zhen Fan and Shiyou Zheng and Weihua Sheng}, journal={IEEE transactions on neural networks and learning systems}, year={2013}, volume={24 7}, pages={1114-26} }