姓名：張瑞梅
職稱/職務(wù)：副研究員（碩士生導(dǎo)師、博士生導(dǎo)師）
電子郵件：ruimeizhang163@163.com；rmzhang168@scu.edu.cn
研究方向：神經(jīng)網(wǎng)絡(luò)、多智能體系統(tǒng)、信息物理系統(tǒng)、網(wǎng)絡(luò)安全控制
2019年12月博士畢業(yè)于電子科技大學(xué)，2023年6月博士后畢業(yè)于永利yl23411官網(wǎng)，2017年9月—2018年8月在加拿大University of Waterloo訪學(xué)，2018年10月—2019年10月在韓國(guó)Yeungnam University訪學(xué)。2020年2月作為引進(jìn)人才加入永利yl23411官網(wǎng)。入選永利yl23411官網(wǎng)“雙百人才工程B計(jì)劃”。
一直從事神經(jīng)網(wǎng)絡(luò)、多智能體系統(tǒng)、信息物理系統(tǒng)和網(wǎng)絡(luò)安全控制的研究，發(fā)表學(xué)術(shù)論文40余篇。以第一作者/通訊作者身份在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)等期刊上發(fā)表SCI論文34篇，其中包括16篇IEEE Transactions系列匯刊長(zhǎng)文。先后有8篇論文入選ESI前1%高被引論文，3篇論文入選ESI前0.1%熱點(diǎn)論文，H因子為19，總被引用1249次，他引1092次(據(jù)Web of Science統(tǒng)計(jì))。主持國(guó)家自然科學(xué)基金2項(xiàng)，四川省自然科學(xué)基金面上1項(xiàng)，中國(guó)博士后面上基金1項(xiàng)和中央高校基本科研業(yè)務(wù)1項(xiàng)等項(xiàng)目。授權(quán)中國(guó)發(fā)明專利1項(xiàng)?，F(xiàn)擔(dān)任國(guó)家自然科學(xué)基金項(xiàng)目通訊評(píng)審專家、美國(guó)《數(shù)學(xué)評(píng)論》評(píng)論員、中國(guó)人工智能學(xué)會(huì)會(huì)員、中國(guó)自動(dòng)化會(huì)控制理論專業(yè)委員會(huì)隨機(jī)系統(tǒng)控制學(xué)組委員和10余個(gè)國(guó)際SCI期刊的審稿人。
1.國(guó)家自然科學(xué)基金面上項(xiàng)目，62376171，復(fù)雜網(wǎng)絡(luò)攻擊下歐拉-拉格朗日型多智能體系統(tǒng)的安全防御控制研究，2024/01-2027/12，主持。
2.國(guó)家自然科學(xué)基金青年項(xiàng)目，62003229，反應(yīng)擴(kuò)散神經(jīng)網(wǎng)絡(luò)系統(tǒng)的優(yōu)化采樣控制問(wèn)題研究，2021/01-2023/12，主持。
3.四川省自然科學(xué)基金面上項(xiàng)目，2023NSFSC0477，復(fù)雜攻擊下信息物理系統(tǒng)的安全防御控制研究，2023/01-2024/12，主持。
4.中國(guó)博士后科學(xué)基金面上項(xiàng)目，2022M712238，憶阻反應(yīng)擴(kuò)散神經(jīng)網(wǎng)絡(luò)系統(tǒng)的控制與安全研究，2022/07-2024/06，主持。
5.中央高?；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金項(xiàng)目，YJ202037，神經(jīng)網(wǎng)絡(luò)系統(tǒng)的采樣控制研究，2020/02-2023/01，主持。
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.
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