Exponential synchronization of coupled neutral-type neural networks with mixed delays via quantized output control |
| |
Authors: | Xinsong Yang Zunshui Cheng Xiaodi Li Tiedong Ma |
| |
Institution: | 1. School of Mathematical Sciences, Chongqing Normal University, Chongqing 401331, China;2. School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China;3. Mathematics and Statistics, Shandong Normal University, Ji’nan 250014, China;4. College of Automation, Chongqing University, 400044, China |
| |
Abstract: | In this paper, new control scheme is considered for exponential synchronization of coupled neutral-type neural networks (NTNNs) with both bounded discrete-time delay and unbounded distributed delay (mixed delays). It is assumed that only the measured output can be utilized to design the controller. Quantized output controllers (QOCs) are considered to save the bits rate of communication channels and the bandwidth. The main difficulty in solving this problem is to cope with the neutral terms, the delays, and the uncertainties induced by the quantization simultaneously. By designing new Lyapunov–Krasovskii functionals and proposing novel analytical techniques, sufficient conditions are derived to ensure the exponential synchronization of the interested NTNNs. The control gains are given by solving a set of linear matrix inequalities (LMIs), which are not necessarily to be negative-definite matrices. Numerical examples are provided to verify the effectiveness and merits of the proposed approach. |
| |
Keywords: | Corresponding author |
本文献已被 ScienceDirect 等数据库收录! |
|