陈红委 副研究员、硕导
个人介绍
东华大学信息科学与技术学院副研究员、硕导，2018于东南大学获得博士学位，期间受国家留学基金委资助在英国布鲁奈尔大学联合培养两年(2016年11月至2018年11月)。主要从事布尔网络的分析与控制、离散随机系统的状态估计等相关问题的研究。目前为止，已在国际顶级期刊IEEE Transactions on Automatic Control、Automatica、IEEE Transactions on Cybernetics、IEEE Transactions on Neural Networks and Learning Systems上发表SCI收录的学术论文20余篇，其中4篇论文入选ESI高被引论文，SCI他引1200余次；发表EI论文10余篇；担任IEEE Transactions on Automatic Control和Automatical等十余个国际期刊的活跃审稿人；主持国家自然科学基金青年项目，上海市“科技创新行动计划”基础研究领域项目，上海市青年科学英才杨帆计划、中央高校基本科研业务费专项资金资助项目，参与国家自然科学基金面上项目2项；曾获南京市第十二届自然科学优秀学术论文奖（排名第一）。目前担任Franklin Open 青年编委(Early Career Editorial Board)、TCCT逻辑系统控制学组委员、中国自动化学会会员、中国纺织工程学会会员。
研究方向
布尔网络，逻辑系统，传感器网络，网络化控制系统
近几年承担的科研项目
1.东华大学励志计划项目，项目名称：异步布尔网络的分析与牵制控制，项目批准号：23D210401，直接费用：50万元，项目起止年月：2023.01-2025.12，主持。
2.国家自然科学基金青年项目，项目名称：随机布尔网络的控制与滤波及其在系统生物学中的应用，项目批准号：62003083，直接费用：24万元，项目起止年月：2021.01-2023.12，主持。
3.上海市“科技创新行动计划”基础研究领域项目，项目名称：基于矩阵半张量积的概率布尔网络的控制与状态估计问题研究，项目批准号：20JC1414500，直接费用：40万元，项目起止年月：2020.10-2023.9，主持。
4.上海市青年科技英才扬帆计划项目，项目名称：随机布尔网络的控制与滤波，项目批准号：19YF1402400，直接费用：20万元，项目起止年月：2019.05-2022.04，主持。
5.中央高校基本科研业务费专项资金资助项目，项目名称：基于布尔网络的基因调控网络的控制与滤波问题研究，项目批准号：2232020D-50，直接费用：10万元，项目起止年月：2020.01-2022.12，主持。
6.青年教师启动资助项目，项目名称：概率布尔网络的分析与调控及其在系统生物学中的应用，直接费用：5万元，项目起止年月：2019.03-2020.03，主持。
7.国家自然科学基金面上项目，项目名称：2-D时变网络系统在事件驱动机制下的状态估计与牵制控制研究，项目起止年月：2017.01-2020.12，参与。
近几年发表的代表性论著
SCI论文：
[1]H. Chen, Z. Wang, B. Shen* and J. Liang, Distributed recursive filtering over sensor networks with non-logarithmic sensor resolution, IEEE Transactions on Automatic Control, 67(10): 5408-5415, Oct. 2022.
[2]H. Chen, Z. Wang, B. Shen* and J. Liang, Model evaluation of the stochastic Boolean control networks, IEEE Transactions on Automatic Control, 67(8): 4146-4153, Aug. 2022.
[3]H. Chen, Z. Wang, J. Liang* and M. Li, State estimation for stochastic time-varying Boolean networks, IEEE Transactions on Automatic Control, 65(12): 5480-5487, Dec. 2020.
[4]H. Chen and J. Liang*, Local Synchronization of interconnected Boolean networks with stochastic disturbances, IEEE Transactions on Neural Networks and Learning Systems, 31(2): 452-463, Feb. 2020.
[5]H. Chen, J. Liang*, J. Lu and J. Qiu, Synchronization for the realization-dependent probabilistic Boolean networks, IEEE Transactions on Neural Networks and Learning Systems, 29(4): 819-831, Apr. 2018.
[6]H. Chen, J. Liang*, T. Huang and J. Cao, Synchronization of arbitrarily switched Boolean networks, IEEE Transactions on Neural Networks and Learning Systems, 28(3): 612-619, Mar. 2017.
[7]H. Chen, J. Liang* and J. Lu, Partial synchronization of interconnected Boolean networks, IEEE Transactions on Cybernetics, 47(1): 258-266, Jan. 2017.
[8]H. Chen, J. Liang* and Z. Wang, Pinning controllability of autonomous Boolean control networks, Science China-Information Sciences, 59(7): Art. No. 070107, Jul. 2016.
[9]H. Chen, B. Wu* and J. Lu, A minimum-time control for Boolean control networks with impulsive disturbances, Applied Mathematics and Computation, 273: 477-483, Jan. 2016.
[10]H. Chen and B. Shen*, Parameter learning of stochastic Boolean networks, International Journal of Robust and Nonlinear Control, 32(5): 2472-2484, Mar. 2022.
[11]H. Chen and J. Liang*, Output regulation of Boolean control networks with stochastic disturbances, IET Control Theory & Applications, 11(13): 2097-2103, Sep. 2017.
[12]H. Chen, J. Liang*, Y. Liu and T. Huang, Synchronisation analysis of Boolean networks based on equivalence, IET Control Theory & Applications, 9(15): 2241-2248, Oct. 2015.
[13]H. Chen, L. Sun and Y. Liu*, Partial stability and stabilisation of Boolean networks, International Journal of Systems Science, 47(9): 2119-2127, Jul. 2016.
[14]H. Chen, Y. Liu* and J. Lu, Synchronization criteria for two Boolean networks based on logical control, International Journal of Bifurcation and Chaos, 23(11): Art. No. 1350178, Nov. 2013.
[15]H. Chen, Q. Chen, B. Shen and Y. Liu, Parameter learning of probabilistic Boolean control networks with input-output data, International Journal of Network Dynamics and Intelligence, in press.
[16]J. Liang*, H. Chen and J. Lam, An improved criterion for controllability of Boolean control networks, IEEE Transactions on Automatic Control, 62(11): 6012-6018, May 2017.
[17]J. Liang*, H. Chen and Y. Liu, On algorithms for state feedback stabilization of Boolean control networks, Automatica, 84: 10-16, Oct. 2017.
[18]Y. Liu*, H. Chen and J. Lu, Controllability of probabilistic Boolean control networks based on transition probability matrices, Automatica, 52: 340-345, Feb. 2015.
[19]Y. Liu*, H. Chen and J. Lu, Data-based controllability analysis of discrete-time linear time-delay systems, International Journal of Systems Science, 45(11): 2411-2417, 2014.
[20] Y. Liu*, H. Chen and B. Wu, A mayer-type optimal control for multivalued logic control networks with undesirable states, Applied Mathematical Modelling, 39(12): 3357-3365, Jun. 2015.
[21]Y. Liu*, H. Chen and B. Wu, Controllability of Boolean control networks with impulsive effects and forbidden states, Mathematical Methods in the Applied Sciences, 37(1): 1-9, Jan. 2014.
[22]Y. Liu*, B. Li, H. Chen, and J. Cao, Function perturbations on singular Boolean networks, Automatica, 84:36-42, Oct. 2017.
[23]L. Tong, J. Liang* and H. Chen, State feedback controller design for anti-synchronization of Boolean control networks: An event-based idea, Asian Journal of Control, 21(6): 2674-2684, Nov. 2019.
[24]C. Huang, B. Shen*, H. Chen and H. Shu, A dynamically event-triggered approach to recursive filtering with censored measurements and parameter uncertainties, Journal of the Franklin Institute, 356(15): 8870-8889, Oct. 2019.
[25]B. Shen*, Z. Wang, H. Tan and H. Chen, Robust fusion filtering over multisensor systems with energy harvesting constraints, Automatica, 131: Art. No. 109782.
会议EI论文：
[1]Q. Chen and H. Chen*, Parameter identification of finite-field networks, China Automation Congress, Chongqing, China, Nov. 2023, in press.
[2]Z. Shen, H. Chen* and H. Zhu, Output feedback control for set stabilization of asynchronous Boolean control networks with double Q-learning algorithm, China Automation Congress, Chongqing, China, Nov. 2023, in press.
[3]C. Su, Q. Chen and H. Chen*, Parameterization process of multi-value logic networks, China Automation Congress, Chongqing, China, Nov. 2023, in press.
[4]Y. Liang and H. Chen*, Distributed recursive filtering for time-varying system with multiplicative noise under stochastic protocol, The 38th Youth Academic Annual Conference of Chinese Association of Automation, Hefei, China, Aug. 2023, pp. 1103-1110.
[5]Y. Wang, H. Chen* and H. Zhu, Particle filter for stochastic time-varying Boolean networks, The 37th Youth Academic Annual Conference of Chinese Association of Automation, Beijing, China, Nov. 2022, pp. 1521-1526.
[6]H. Zhu, Y. Wang and H. Chen*, Sarsa-based output tracking problem of stochastic Boolean control networks, The 41th Chinese Control Conference, Hefei, China, Jul. 2022, pp. 2204-2209.
[7] R. Li, H. Chen* and B. Shen, Monostability and bistability of probabilistic Boolean networks, Chinese Automation Congress, Shanghai, China, Nov. 2020, pp. 5901-5906.
[8]J. Wang, B. Shen and H. Chen*, EFSSD: An enhanced fusion SSD with feature fusion and visual object association method, The 35th Youth Academic Annual Conference of Chinese Association of Automation, Shanghai, China, Oct. 2020, pp. 451-457.
[9]H. Chen，B. Shen* and N. Li, Synchronization of interconnected Boolean networks with stochastic function perturbations, IEEE Conference on Control Technology and Applications, Hong Kong, China, Aug. 2019, pp. 555-560.
[10]H. Chen and J. Liang*, Synchronization analysis of multiagent-type Boolean networks, The 35th Chinese Control Conference, Chengdu, China, Jul. 2016, pp. 2368-2373.
[11]H. Chen and J. Liang*, Synchronization of state-dependent switched Boolean networks, The 10th Asian Control Conference, Kota Kinabalu, Malaysia, May 2015, DOI: 10.1109/ASCC.2015.7244535.
[12]H. Chen, J. Liang, and F. Wang*, Controllability of Boolean control networks with respect to part of the variables, The 27th Chinese Control and Decision Conference, Qingdao, China, May 2015, pp. 699-704.
[13]H. Chen* and L. Sun, Partial stability and stabilization of multi-valued logical networks, The 33th Chinese Control Conference, Nanjing, China, Jul. 2014, pp. 6043-6047.
专利：
1.薛建凯，沈波，陈红委，渠博岗，洪佳乐，马宇航. 一种基于麻雀搜索算法的无人机航迹规划方法，中国，申请号：202111666199.8.
荣誉及奖励
1. 陈红委，2019年度对Asian Journal of Control 审稿作出的杰出贡献，Asian Journal of Control，杰出审稿人，2019
2. 陈红委、梁金玲、王子栋，Pinning controllability of autonomous Boolean control networks，南京市自然科学优秀学术论文评审委员会，南京市第十二届自然科学优秀学术论文奖，2018
3. 陈红委，浙江省优秀毕业生，浙江省教育厅，2014
4. 陈红委，研究生国家奖学金，中华人民共和国教育部，2013
教学情况
研究生课程：《最优控制与状态估计》，《智能技术》，主讲
本科生课程：《自动控制原理》，主讲
联系信息
电子邮箱：hongwei@dhu.edu.cn
办公地址：2号学院楼518室