姓名：张瑞梅

职称/职务：副研究员（硕士生导师、博士生导师）

电子邮件：ruimeizhang163@163.com；rmzhang168@scu.edu.cn

研究方向：神经网络、多智能体系统、信息物理系统、网络安全控制

• 个人简介

2019年12月博士毕业于电子科技大学，2023年6月博士后毕业于3200威尼斯vip，2017年9月—2018年8月在加拿大University of Waterloo访学，2018年10月—2019年10月在韩国Yeungnam University访学。2020年2月作为引进人才加入3200威尼斯vip。入选3200威尼斯vip“双百人才工程B计划”。

• 科研情况

一直从事神经网络、多智能体系统、信息物理系统和网络安全控制的研究，发表学术论文40余篇。以第一作者/通讯作者身份在IEEE Transactions on Neural Networks and Learning Systems (IF: 14.255), IEEE Transactions on Cybernetics (IF: 19.118), IEEE Transactions on Fuzzy Systems (IF: 12.253), IEEE Transactions on Systems, Man, and Cybernetics-Systems (IF: 11.471)等期刊上发表SCI论文34篇，其中包括16篇IEEE Transactions系列汇刊长文。先后有8篇论文入选ESI前1%高被引论文，3篇论文入选ESI前0.1%热点论文，H因子为19，总被引用1249次，他引1092次(据Web of Science统计)。主持国家自然科学基金2项，四川省自然科学基金面上1项，中国博士后面上基金1项和中央高校基本科研业务1项等项目。授权中国发明专利1项。现担任国家自然科学基金项目通讯评审专家、美国《数学评论》评论员、中国人工智能学会会员、中国自动化会控制理论专业委员会随机系统控制学组委员和10余个国际SCI期刊的审稿人。

• 近年主持的科研项目

1.国家自然科学基金面上项目，62376171，复杂网络攻击下欧拉-拉格朗日型多智能体系统的安全防御控制研究，2024/01-2027/12，主持。

2.国家自然科学基金青年项目，62003229，反应扩散神经网络系统的优化采样控制问题研究，2021/01-2023/12，主持。

3.四川省自然科学基金面上项目，2023NSFSC0477，复杂攻击下信息物理系统的安全防御控制研究，2023/01-2024/12，主持。

4.中国博士后科学基金面上项目，2022M712238，忆阻反应扩散神经网络系统的控制与安全研究，2022/07-2024/06，主持。

5.中央高校基本科研业务费专项资金项目，YJ202037，神经网络系统的采样控制研究，2020/02-2023/01，主持。

• 近年代表性论文著作

1.R. Zhang, D. Zeng, J.H. Park, H.K. Lam, X. Xie, Fuzzy sampled-data control for synchronization of T-S fuzzy reaction-diffusion neural networks with additive time-varying delays,IEEE Transactions on Cybernetics, vol. 51, no. 5, pp. 2384-2397, 2021.

2.R. Zhang, D. Zeng, J.H. Park, Y. Liu, X. Xie, Adaptive event-triggered synchronization of reaction-diffusion neural networks,IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 8, pp. 3723-3735, 2021.

3.R. Zhang, D. Zeng, J.H. Park, H.K. Lam, S. Zhong, Fuzzy adaptive event-triggered sampled-data control for stabilization of T-S fuzzy memristive neural networks with reaction-diffusion terms,IEEE Transactions on Fuzzy Systems, vol. 29, no. 7, pp. 1775-1785, 2021.

4.R. Zhang, D. Zeng, J.H. Park, Y. Liu, S. Zhong, A new approach to stabilization of chaotic systems with non-fragile fuzzy proportional retarded sampled-data control,IEEE Transactions on Cybernetics, vol. 49, no. 9, pp. 3218-3229, 2019.

5.R. Zhang, D. Zeng, J.H. Park, Y. Liu, S. Zhong, A new approach to stochastic stability of Markovian neural networks with generalized transition rates,IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 2, pp. 499-510, 2019.

6.R. Zhang, D. Zeng, J.H. Park, Y. Liu, S. Zhong, Pinning event-triggered sampling control for synchronization of T-S fuzzy complex networks with partial and discrete-time couplings,IEEE Transactions on Fuzzy Systems, vol. 27, no. 12, pp. 2368-2380, 2019.

7.R. Zhang, D. Zeng, X. Liu, S. Zhong, J. Cheng, New results on stability analysis for delayed Markovian generalized neural networks with partly unknown transition rates,IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 11, pp. 3384-3395, 2019.

8.R. Zhang, D. Zeng, J.H. Park, Y. Liu, S. Zhong, Quantized sampled-data control for synchronization of inertial neural networks with heterogeneous time-varying delays,IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 12, pp. 6385-6395, 2018.

9.R. Zhang, D. Zeng, J.H. Park, Y. Liu, S. Zhong, Nonfragile sampled-data synchronization for delayed complex dynamical networks with randomly occurring controller gain fluctuations,IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 12, pp. 2271-2281, 2018.

10.D. Zeng,R. Zhang*, J.H. Park, Z. Pu, Y. Liu, Pinning synchronization of directed coupled reaction-diffusion neural networks with sampled-data communications,IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 6, pp. 2092-2103, 2020.

11.R. Zhang, H. Wang, J.H. Park, H.K. Lam, P. He, Quasisynchronization of reaction-diffusion neural networks under deception attacks,IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 12, pp. 7833-7844, 2022.

12.R. Zhang, H. Wang, J.H. Park, P. He, D. Zeng, X. Xie, Fuzzy secure control for nonlinear N-D parabolic PDE-ODE coupled systems under stochastic deception attacks,IEEE Transactions on Fuzzy Systems, vol. 30, no. 8, pp. 3347-3359, 2022.

13.R. Zhang, H. Wang, J.H. Park, P. He, X. Xie, Event-triggered impulsive fault-tolerant control for memristor-based RDNNs with actuator faults,IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 6, pp. 2993-3004, 2023.

14.R. Zhang, H. Wang, J.H. Park, K. Shi, P. He, Mode-dependent adaptive event-triggered control for stabilization of Markovian memristor-based reaction-diffusion neural networks,IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 8, pp. 3939-3951, 2023.

15.D. Zeng, L. Yang,R. Zhang*, J.H. Park, Z. Pu, X. Xie, A new switching system protocol for synchronization in probability of RDNNs with stochastic sampling,IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 7, pp. 4358-4369, 2023.

16. D. Zeng,R. Zhang*, J.H. Park, G.C. Wu, K. Shi, X. Xie, A new estimation method for time-space sampled-data synchronization of RDNNs with random delays,IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 7, pp. 4302-4313, 2023.