陈兵(泰山学者)
姓 名：陈兵 教授 邮箱：Chenbing1958@126.com
个人简介：
1982年毕业于辽宁大学数学系，获理学学士学位；
1991年毕业于哈尔滨工业大学数学系，获理学硕士学位；
1998年毕业于东北大学控制理论与控制工程专业，并获工学博士学位。
1998年10月至2000年10月进入东北大学计算机科学与技术博士后流动站工作。
2005年10月受聘山东省系统理论泰山学者岗位特聘教授，同年调入青岛大学复杂性科学研究所工作，现为青岛大学复杂性科学研究所教授、博士生指导教师。
个人主要研究兴趣为：非线性系统鲁棒控制、自适应模糊控制等。近年来，主持国家自然科学基金项目4项，山东省自然科学基金项目1项；参与国家自然科学基金项目3项，山东省自然基金1项；在国际重要学术杂志上发表学术论文100余篇。
科研成果：
近5年发表的部分学术论文
● Fang Wang, Bing Chen*, Xiaoping Liu, and Chong Lin (2018), Finite-time adaptive fuzzy tracking control design for nonlinear systems, IEEE Transactions On Fuzzy Systems, VOL. 26, NO. 3, JUNE 2018 1207, 1207—1216
● Yumei Sun, Bing Chen*, Chong Lin, and Honghong Wang (2018), Finite-time Adaptive Control for a Class of Nonlinear Systems with Non-Strict Feedback Structure, IEEE Transactions On Cybernetics, VOL. 48, NO. 10, OCTOBER 2018, 2774—2782
● Bing Chen, Huaguang Zhang, Xiaoping Liu, and Chong Lin (2018), Neural Observer and Adaptive Neural Control Design for a Class of Nonlinear Systems, IEEE Transactions On Neural Networks Learning Systems, VOL. 29, NO. 9, SEPTEMBER 2018， 4261—4271
● Bing Chen, Xiaoping Liu, and Chong Lin (2018), Observer And Adaptive Fuzzy Control Design for Nonlinear Strict-feedback Systems with Unknown Virtual Control Coefficients, IEEE Transactions On Fuzzy Systems, 26, NO. 3, JUNE 2018，1732-1743
● Bing Chen, Xiaoping Liu, and Chong Lin (2016), Observer-Based Adaptive Fuzzy Control for a Class of Nonlinear Delayed Systems, IEEE Transactions On Systems, Man, and Cybernetics: Systems, 46(1), 27—36. JANUARY
● Bing Chen, Huaguang Zhang and Chong Lin (2016), Observer-based Adaptive Neural Network Control for Nonlinear Systems in Non-Strict-Feedback Form, IEEE Transactions On Neural Networks Learning Systems, 27(1):89—98.
● Bing Chen, Chong Lin, Xiaoping Liu and Kefu Liu (2015), Adaptive Fuzzy Tracking Control for a Class of MIMO Nonlinear Systems in Non-strict-feedback Form, IEEE Transactions On Cybernetics, 45(12):2744—2755.
● Bing Chen, Xiaoping Liu, Kefu Liu and Chong Lin (2014) Fuzzy Approximation-Based Adaptive Control of Nonlinear Delayed Systerms with Unknown Dead Zone. IEEE Transactions on Fuzzy Systems, 22(2): 237--248.
● Bing Chen, Kefu Liu Xiaoping Liu, Peng Shi and Chong Lin (2014) Approximation-based Adaptive Neural Control Design for a Class of Nonlinear Systems. IEEE Transactions on Cybernetics, 44(5): 610—619.
获奖：
《非线性系统的智能控制》获2014年度山东省自然科学二等奖（ZR2014-2-13-R01）
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