林崇（泰山学者）
姓名：林崇（山东省突出贡献专家，泰山学者） 邮箱：linchong_2004@hotmail.com
个人简介：
1999年于新加坡南洋理工大学获博士学位。1999年5-12月在香港大学机械工程系担任副研究员（Research Associate）；2000-2006年，在新加坡国立大学任研究员（Research Fellow）；2006年至今为青岛大学教授，2009年遴选为博士生导师。 2007年1-3月在新加坡国立大学短期访问，2007年7-8月到英国布鲁奈尔大学做访问科学家（Visiting Scientist）。
主要研究领域为系统理论与控制理论，包括广义系统、继电反馈系统、网络控制系统、时滞系统、不确定系统的鲁棒性分析与控制、非线性系统的模糊控制方法。至今在Springer出版社合作出版专著2部（第一、三位次）,合作发表SCI检索论文100余篇,SCI他引三千余次。主持国家自然科学基金项目3项，山东省自然科学基金项目2项，参与国家级和省部级项目多项。获山东省自然科学二等奖2项（第一、三位次），获教育部自然科学一等奖1项（第三位次）。2010年度山东省有突出贡献的中青年专家，2012-2015年山东省重点学科首席专家。2014年至今入选爱思唯尔（Elsevier）中国高被引学者榜单；2018年入选科睿唯安高被引科学家榜单。2018年作为青岛大学“系统与控制教师团队”骨干获批首届“全国高校黄大年式教师团队”。美国电气工程师协会高级会员（Senior Member, IEEE），学术期刊International Journal of Systems Science，Journal of The Franklin Institute、《控制与决策》等多个期刊编委。
科研成果：
2019年
1) Yuxia Yang, Chong Lin, Bing Chen, Qing-Guo Wang, Nonlinear H∞ observer design for one-sided Lipschitz discrete-time singular systems with time-varying delay, Int. J. Robust Nonlinear Control, 29: 252-267, Jan. 2019
2) Jian Chen, Chong Lin, Bing Chen, Qing-Guo Wang, Regularization and Stabilization for Rectangular T-S Fuzzy Discrete-Time Systems With Time Delay，IEEE Transactions on Systems, Man, and Cybernetics: Systems, accepted 2017
2018年
3) Chong Lin, Bing Chen, Peng Shi, Jinpeng Yu, Necessary and Sufficient Conditions of Observer-based Stabilization for a Class of Fractional-Order Descriptor Systems, Systems & Control Letters, 112:31-35, February 2018
4) Ying Guo, Chong Lin, Bing Chen, and Qing-Guo Wang, Stabilization for singular fractional–order systems via output feedback control, IEEE Access, 6: 71678-71684, December 2018
5) Ying Guo, Chong Lin, Bing Chen, and Qing-Guo Wang, Necessary and sufficient conditions for the dynamic output feedback stabilization of fractional-order systems with order 0<alpha<1, Science China Information Sciences, accepted 2018
6) Xin Zhao, Chong Lin, Bing Chen, and Qing-Guo Wang, A novel Lyapunov–Krasovskii functional approach to stability and stabilization for T–S fuzzy systems with time delay, Neurocomputing, 313: 288-294, November 2018 (ISSN:0925-2312)
7) Yuxia Yang, Chong Lin, Bing Chen, Qing-Guo Wang, Reduced-order observer design for a class of generalized Lipschitz nonlinear systems with time-varying delay, Applied Mathematics and Computation, 337: 267-280, 15 Nov 2018 （ISSN: 0096-3003, IF:1.738）
8) Jian Chen, Tao Zhang, Ziye Zhang, Chong Lin, Bing Chen, Stability and output feedback control for singular Markovian jump delayed systems, Mathematical Control and Related Fields, 8(2): 475-490, June 2018
9) Bing Chen, Huaguang Zhang, Xiaoping Liu and Chong Lin, Neural observer and adaptive neural control design for a class of nonlinear systems, IEEE Transactions on Neural networks and Learning Systems, 29(9):4261-4271, Sept. 2018
10) Bing Chen, Xiaoping Liu, and Chong Lin, Observer and Adaptive Fuzzy Control Design for Nonlinear Strict-Feedback Systems With Unknown Virtual Control Coefficients, IEEE Transactions on Fuzzy Systems, 26(3):1732-1743, June 2018
11) Fang Wang, Bing Chen, Xiaoping Liu, and Chong Lin, Finite-time adaptive fuzzy tracking control design for nonlinear systems, IEEE Transactions on Fuzzy Systems,26(3):1207-1216, June 2018
12) Yumei Sun, Bing Chen, Chong Lin, and Honghong Wang, Finite-time Adaptive Control for a Class of Nonlinear Systems with Non-Strict Feedback Structure, IEEE Transactions on Cybernetics, 48(10):2774-2782, October 2018
13) Yun Shang, Bing Chen, Chong Lin, Neural adaptive tracking control for a class of high-order non-strict feedback nonlinear multi-agent systems, Neurocomputing 316: 59–67, 2018
14) Jinpeng Yu, Peng Shi, Wenjie Dong, Chong Lin, Adaptive fuzzy control of nonlinear systems with unknown dead zones based on command filtering, IEEE Transactions on Fuzzy Systems, 26(1):46-55, Feb. 2018
15) Yu J, Zhao L, Yu H, Lin C. Fuzzy Finite-Time Command Filtered Control of Nonlinear Systems With Input Saturation. IEEE Transactions on Cybernetics, 48(8): 2378 - 2387, 2018.
16) Fu C, Yu J, Zhao L, Yu H, Lin C, Ma Y. Barrier Lyapunov function-based adaptive fuzzy control for induction motors with iron losses and full state constraints. Neurocomputing, 287: 208-220, 2018.
17) Han Y, Yu J, Zhao L, Yu H, Lin C. Finite-time adaptive fuzzy control for induction motors with input saturation based on command filtering. IET Control Theory & Applications, 12(15):2148-2155, 2018.
18) Zhao Z, Yu J, Zhao L, Yu H, Lin C. Adaptive Fuzzy Control for Induction Motors Stochastic Nonlinear Systems with Input Saturation Based on Command Filtering. Information Sciences, 463: 86-195, 2018.
19) Han Yuxi, Yu Jinpeng, Liu Zhen and Zhao Lin, Command filter-based adaptive neural control for permanent magnet synchronous motor stochastic nonlinear systems with input saturation, INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 30(1):38-46, 2018. （EI期刊论文）
20) Lin Zhao, Jinpeng Yu, Chong Lin, Yumei Ma,Adaptive Neural Consensus Tracking for Nonlinear Multiagent Systems Using Finite-Time Command Filtered Backstepping，IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(11):2003-2012, Nov. 2018
21) Zhiliang Liu, Bing Chen, Chong Lin, Output-feedback control design for switched nonlinear systems: Adaptive neural backstepping approach, Information Sciences， 457–458: 62–75, Aug. 2018
22) Ziye Zhang, Xiaoping Liu, Donghua Zhou, Chong Lin, Jian Chen, Haixia Wang, Finite-time stabilizability and instabilizability for complex-valued memristive neural networks with time delays，IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(12):2371-2383, Dec. 2018
2017年
23) Jian Chen, Chong Lin, Bing Chen, and Qing-Guo Wang, Improved stability criterion and output feedback control for discrete-time systems, Applied Mathematical Modelling, 52:82–93, December 2017 （ISSN: 0307-904X, IF:2.350）
24) Jian Chen, Chong Lin, Bing Chen, and Qing-Guo Wang, Fuzzy-model-based admissibility analysis and output feedback control for nonlinear discrete-time systems with time-varying delay, Information Sciences, 412-413:116–131, October 2017 （ISSN: 0020-0255, IF:4.832）
25) Chong Lin, Jian Chen, Bing Chen, Lei Guo, and Ziye Zhang, Fuzzy normalization and stabilization for a class of nonlinear rectangular descriptor systems, Neurocomputing, 219: 263-268, Jan. 2017 (ISSN:0925-2312, IF:2.392)
26) Nan Zhao, Chong Lin, Bing Chen, and Qing-Guo Wang, A new double integral inequality and application to stability test for time-delay systems, Applied Mathematics Letters, 65: 26-31, March 2017 （ISSN: 0893-9659, IF:2.233）
27) Jian Chen, Chong Lin, Bing Chen, and Qing-Guo Wang, Mixed H∞ and passive control for singular systems with time delay via static output feedback, Applied Mathematics and Computation, 293: 244-253, 15 January 2017 （ISSN: 0096-3003, IF:1.738）
28) Runan Guo, Ziye Zhang, Xiaoping Liu, Chong Lin, Existence, uniqueness, and exponential stability analysis for complex-value d memristor-based BAM neural networks with time delays, Applied Mathematics and Computation, 311: 100-117, 2017 （ISSN: 0096-3003, IF:1.738）
29) 林崇，赵南，陈兵，基于新型Abel 型有限和不等式的时滞系统稳定性判据，控制与决策,32(10): 1910-1913, Oct. 2017 （ISSN: 1001-0920）
30) Jinpeng Yu, Peng Shi, Wenjie Dong, and Chong Lin, Command filtering-based fuzzy control for nonlinear systems with saturation input, IEEE Transactions on Cybernetics, 47(9):2472-2479, September 2017
31) Jinpeng Yu, Yumei Ma, Haisheng Yu, and Chong Lin, Adaptive fuzzy dynamic surface control for induction motors with iron losses in electric vehicle drive systems via backstepping, Information Sciences, 376:172-189, 2017
32) Fang Wang, Xueyi Zhang, Bing Chen, Chong Lin, Xuehua Li, Jing Zhang, Adaptive finite-time tracking control of switched nonlinear systems, Information Sciences, vol. 421 pp. 126-135, 2017
33) Fang Wang, Bing Chen, Chong Lin, and Xuehua Li, Distributed Adaptive Neural Control for Stochastic Nonlinear Multiagent Systems, IEEE Transactions On Cybernetics, vol. 47, no. 7, pp.1795-1803, July 2017
34) Honghong Wang, Bing Chen, Chong Lin and Yumei Sun, Adaptive fuzzy output-feedback control for a class of nonlinear pure-feedback systems with time delays, International Journal of Systems Science, Vol.48, No.6, pp. 1242-1253, 2017.
35) Honghong Wang, Bing Chen , Chong Lin, Yumei Sun, Fang Wang, Adaptive finite-time control for a class of uncertain high-order non-linear systems based on fuzzy approximation, IET Control Theory & Applications, Vol.11, No.5, pp. 677-684, 2017.
36) Zhiliang Liu, Bing Chen, and Chong Lin, Adaptive Neural Backstepping for a Class of Switched Nonlinear System Without Strict-Feedback Form, IEEE Transactions On Systems, Man And Cybernetics: Systems, Vol. 47, No. 7, pp.1315-1320, JULY 2017
2016年
37) Chong Lin, Bing Chen, and Qing-Guo Wang, Static output feedback stabilization for fractional-order systems in T-S fuzzy models, Neurocomputing, 218 : 354-358, Dec. 19, 2016 (ISSN:0925-2312, IF:2.392)
38) Jian Chen, Chong Lin, Bing Chen, and Qing-Guo Wang, Output feedback control for singular Markovian jump systems with uncertain transition rates, IET Control Theory & Applications, 18(5): 2142-2147, Oct. 31, 2016 (ISSN:1751-8644, IF:1.957)
39) Jian Chen, Chong Lin, and Bing Chen, An improved path-following method for solving static output feedback control problems, Optimal Control Applications and Methods, 37:1193-1206, Dec. 2016 (ISSN: 1099-1514, IF:1.097)
40) Ziye Zhang, Chong Lin, and Bing Chen, Dynamic output-feedback control for T-S fuzzy systems with input time-varying delay, Asian Journal of Control, 18(6):2088-2099, Nov. 2016 (ISSN: 1934-6093, IF:1.407)
41) Ziye Zhang, Chong Lin, and Bing Chen, New results on H∞ filter design for nonlinear time-delay systems via fuzzy line-integral approach, International Journal of Fuzzy Systems, 18(5): 904-913, October 2016 (ISSN:1562-2479, IF:0.941)
42) Zhou-Yang Liu, Chong Lin, and Bing Chen, Admissibility analysis for linear singular systems with time-varying delays via neutral system approach, ISA Transactions, 61:141-146, March 2016 (ISSN:0019-0578, IF:2.6)
43) Wang Honghong, Chen Bing, Lin Chong, Sun Yumei. Observer-based adaptive neural control for a class of nonlinear pure-feedback systems. Neurocomputing, 171: 1517-1523, Jan 2016
44) Sun Yumei, Chen Bing, Lin Chong, Wang Honghong, Zhou Shaowei. Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach. Information Sciences, 369: 748-764, Nov. 10, 2016
45) Sun Yumei, Chen Bing, Lin Chong, Wang Honghong, Adaptive neural control for a class of stochastic non-strict-feedback nonlinear systems with time-delay, Neurocomputing, Vol. 214, pp. 750-757, 2016
46) Wang Fang, Chen Bing, Lin Chong, Li Gang, Sun Yumei. Adaptive quantized control of switched stochastic nonlinear systems. Neurocomputing, 207: 450-456, Sept. 26, 2016
47) Wang Fang, Chen Bing, Zhang Ziye, Lin Chong. Adaptive tracking control of uncertain switched stochastic nonlinear systems. Nonlinear Dynamics, 84(4): 2099-2109, June 2016
48) Bing Chen, Chong Lin, Xiaoping Liu, and Kefu Liu, Observer-based adaptive fuzzy control for a class of nonlinear delayed systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(1):27-36，Jan 2016
49) Bing Chen, Huaguang Zhang, and Chong Lin, Observer-based adaptive neural network control for nonlinear systems in nonstrict-feedback form, IEEE Transactions on Neural Networks and Learning Systems, 27(1):89-98, Jan 2016
获奖情况：
1． 2018年11月（公示），山东省科学技术奖自然科学二等奖（排名第1位）。授奖部门：山东省政府。项目名称：复杂动态系统基于模糊神经网络的分析与控制 。
2． 2015年1月，山东省科学技术奖自然科学二等奖（排名第3位）。授奖部门：山东省政府。项目名称：非线性系统的智能控制 。
3． 2009年1月，山东省科学技术奖自然科学二等奖（排名第1位）。授奖部门：山东省政府。项目名称：复杂系统若干问题的理论研究与应用 。
4． 2006年11月，山东省高校优秀自然科学成果二等奖（排名第1位）。授奖部门：山东省教育厅。项目名称：复杂系统的模糊分析与集成。
5． 2008年1月，2007年度高等学校科学技术奖自然科学一等奖（排名第3位）。授奖部门：教育部。项目名称：非高斯随机系统的抗干扰控制与估计。
专著：
[1] C. Lin, Q.-G. Wang, T. H. Lee, and Y. He, LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay, in series of Lecture Notes in Control and Information Sciences, Springer 出版社, 2007.
[2] Q.-G. Wang, T. H. Lee, and C. Lin, Relay Feedback: Analysis, Identification and Control, London: Springer出版社, 2003