Fault-tolerant mixed H∞/passive synchronization for delayed chaotic neural networks with sampled-data control

作者：Su, Lei; Shen, Hao^*

来源：Complexity, 2016, 21(6): 246-259.

DOI：10.1002/cplx.21684

• mixed
• H-infinity/passive synchronization
• chaotic neural networks
• fault-tolerant
• sampled-data

This article is concerned with the fault-tolerant mixed H-infinity/passive synchronization problem for chaotic neural networks by sampled-data control scheme. The objective is focused on the design of a reliable controller such that the mixed H-infinity/passivity performance level of the resulting synchronization error system is ensured in the presence of actuator failures. A time-dependent Lyapunov functional and an improved reciprocally convex approach combined with a novel integral inequality are applied to optimize the availability of the information on the actual sampling pattern. Then, some sufficient conditions of mixed H-infinity/passivity performance analysis for the synchronization error systems are derived. A desired reliable sampled-data controller is designed by solving the optimization problems. Finally, to demonstrate the effectiveness of the proposed method, a practical chaotic neural networks is provided.

• 出版日期2016-7
• 单位安徽工业大学