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王欣

研究领域:智能控制、强化学习、优化算法等

主讲课程: 数据结构与算法、嵌入式系统、面向对象程序设计

电子邮箱: xinwangswu@163.com

王欣,博士,教授、博士生导师,2015毕业于重庆大学计算机科学与技术专业,获工学博士学位。曾在香港城市大学、柏林洪堡大学、德州农工大学卡塔尔分校做访问学者。担任国际期刊IEEE Systems Man and Cybernetics MagazineJournal of Automation and Intelligence 副编辑。主要从事智能控制、强化学习及其应用方面研究近年来以第一作者或通讯作者身份在IEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on CyberneticsSCI收录的国际期刊上发表学术论文60余篇,其中包括IEEE 汇刊论文20篇。作为项目负责人主持国家自然科学基金面上项目在内的基金项目10余项。


代表性论文:

[1] Wang Xin, Wang Hui, Huang Tingwen, Jurgen Kurths, Neural-network-based adaptive tracking control for nonlinear multiagent systems: the observer case, IEEE Transactions on Cybernetics, 53(1):138-150, 2023.

[2] Wang Xin, Xu Rui, Huang Tingwen, Jurgen Kurths, Event-triggered adaptive containment control for heterogeneous stochastic nonlinear multiagent mystems, IEEE Transactions On Neural Network and Learning systems, doi:10.1109/TNNLS.2022.3230508, 2023.

[3] Wang Xin, Guang Weiwei, Huang Tingwen, Jurgen Kurths, Optimized adaptive finite-time consensus control for stochastic nonlinear multiagent systems with nonaffine nonlinear faults, IEEE Transactions on Automation Science and Engineering, doi:10.1109/TASE.2023.3306101, 2023.

[4] Wang Xin, Pang Ning, Xu Yanwei, Huang Tingwen, Jurgen Kurths, On state constrained containment control for nonlinear multiagent systems using event-triggered input, IEEE Transactions On Systems Man Cybernetic: Systems, doi: 10.1109/TSMC.2023.3345365, 2023.

[5] Wang Xin, Zhou Yuhao, Yang Lu, Event-triggered cooperative adaptive neural control for cyber-physical systems with unknown state time delays and deception Attacks, IEEE Transactions On Systems Man Cybernetic: Systems, 53(6):3540- 3552, 2023.

[6] Wang Xin, Zhou Yuhao Jiang Yuming, Huang Tingwen, Event-triggered adaptive finite-time control for switched cyber-physical systems with uncertain deception attacks, IEEE Transactions on Industrial Cyber-Physical Systems, 1:136-146, 2023.

[7] Wang Xin, Zhou Yuhao, Luo Biao, Li Yushuai, Huang Tingwen, Event-triggered neuro-adaptive fixed-time control for nonlinear switched and constrained systems: An initial condition-independent method, IEEE Transactions on Circuits and Systems--I: Regular Papers, doi: 10.1109/TCSI.2023.3342070,2023.

[8] Wang Xin, Zhao Chen, Huang Tingwen, Data-driven fault-tolerant Reinforcement learning containment control for nonlinear multiagent systems, IEEE Transactions On Emerging Topics In Computation Intelligence, DOI 10.1109/TETCI.2023.3303252, 2023.

[9] Wang Xin, Zhou Yuhao Zhou, Huang Tingwen, Chakrabarti Prasun, Event triggered adaptive fault-tolerant control for a Class of nonlinear multiagent systems with sensor and actuator Faults, IEEE Transactions on Circuits and Systems I: Regular Papers, 69(10):4203-4214.2022.

[10] Wang Xin,Wang Hui, Li Chuandong, Huang Tingwen, Jurgen Kurths, Consensus seeking in multiagent systems with markovian switching topology under aperiodic sampled data, IEEE Transactions On Systems Man Cybernetic: Systems, 50(12): 5189- 5200, 2020.

[11] Wang Xin, Zhao Chen, Huang Tingwen, Jurgen Kurths Cooperative learning of multiagent systems via reinforcement learning, IEEE Transactions on Signal and Information Processing over Networks, 9:13-23,2023.

[12] Wang Xin, Wang Hui, Li Chuandong, Huang Tingwen, Jurgen Kurths, Improved Consensus Conditions for Multiagent Systems with Uncertain Topology: The Generalized Transition Rates Case, IEEE Transactions on Networks Science and Engineering, 7(3): 1158-1169, 2020.

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