更新时间：2023-12-23 20:02
李洪兴，中共党员、民盟盟员。1953年7月生，先后毕业于南开大学数学系与北京师范大学数学系，获理学博士学位。1998年8月-1999年8月在美国Wright State University作访问教授。现任大连理工大学教授、博士生导师、中国模糊系统与数学学会副理事长、中国人工智能学会理事兼智能系统工程委员会副主任、中国自动化学会智能控制委员会理事、中国运筹学会模糊系统委员会副理事长、国际刊物《Set Valued Mathematics》编委, 国内刊物《系统工程学报》编委、《模糊系统与数学》编委，美国数学评论评论员，德国数学文摘评论员，IEEE会员。1985年被授予天津市劳动模范称号，1986年被国家人事部批准为“国家级有突出贡献的中青年专家”。1997年入选“教育部跨世纪优秀人才培养计划”。2002年被教育部授予中国高等学校优秀骨干教师称号。获2002年度教育部提名国家科学技术奖自然科学一等奖。2003年5月获首都劳动奖章。2003年7月被评为北京师范大学校级优秀共产党员，2004年7月被评为北京师范大学校级优秀共产党员。获2005年度教育部提名国家科学技术奖自然科学二等奖。
大连理工大学
模糊信息处理与机器智能研究所所长，北京师范大学珠海分校智能控制实验室主任、北京师范大学珠海分校应用数学学院学术委员会主任。
1998年8月-1999年8月在美国莱特大学作访问教授。
在杂技表演中可以看到这样的动作：演员口衔一根小棍子，在小棍子的另一头立起另外一根棍子和盘子，做得好的演员还可以绕场行走。两根棍子之间的连接点非常小，依旧能够保持平衡。达到这样的水平是演员长期艰苦训练的结果，但是通过我国科学家的一项新的研究成果，人们只要轻松操作计算机也可以完成这样的高难度“表演”，而且据说杂技演员能掌握的极限就是两根棍子的平衡，我国科学家能做到的是一次顶起3根棍子并在一个平面内任意行走。完成这一成果的是北京师范大学教授李洪兴领导的复杂系统智能控制实验室，他们采用高维变论域自适应控制理论，在世界上第一个成功地实现了平面运动三级倒立摆实物系统控制。2005年7月15日，教育部组织包括两位院士在内的9位相关领域的科学家对这一成果进行了鉴定，认为这是一项原创性的具有国际领先水平的重大科研成果。
倒立摆是验证控制方法和理论的实验平台，控制理论和方法做得越好，实现的倒立摆级数就越高，平面运动三级倒立摆是世界公认的科学难题。最初研究开始于上个世纪50年代，美国麻省理工学院的控制论专家根据火箭发射助推器原理设计出一级倒立摆实验设备；而后人们又参照双足机器人控制问题研制出二级倒立摆控制设备，从而提高了检验控制理论或方法的能力，也拓宽了控制理论或方法的检验范围。三级倒立摆是由一、二级倒立摆演绎而来，它的实物系统控制实现已经是公认的难题。
2002年8月，李洪兴和他的同事在国际上首次成功实现了直线运动四级倒立摆实物系统控制。此后他们又将“平面运动倒立摆实物系统控制的实现”作为重要研究课题之一。此前他们已经实现的一级至四级倒立摆均为直线运动倒立摆。据李洪兴介绍，从控制理论和控制工程的意义上讲，平面运动倒立摆实物系统控制的实现要比直线运动倒立摆实物系统控制的实现困难得多；这不仅是因为这样的系统其变量、非线性程度及不稳定性成倍地增加，而且有关机械和电子器件的实现或选用会遇到瓶颈性的困难。记者在李洪兴的实验室看到了他们的倒立摆实验器材，据介绍这些器材都是他和助手们一个零件一个零件亲手加工而成，李洪兴自豪地告诉记者，从了解的资料看，日本科学家用的设备比我们先进多了，我们的设备比他们简陋，实验难度也更大，但我们成功了。
李洪兴介绍说，变论域自适应控制理论产生的方法与技术会在许多领域中得到应用，比如半导体加工行业以及机器人领域中的柔性控制方面。此外，在军事与航天领域中，该理论与技术可用于导弹拦截控制系统拦截飞行体的姿态与定位控制问题、航空器对接控制技术中的欠自由度多级机械手臂定位控制以及各种欠驱动控制系统，等等。李洪兴告诉记者，他的研究结果已经在炼铝行业得到应用。
李洪兴和同事下一步的研究目标是设法实现弹性驱动三级倒立摆实物系统控制和平面运动四级倒立摆实物系统控制。
中国人工智能学会理事兼智能系统工程委员会副主任
国际一般系统学会中国分会模糊系统委员会副理事长
《系统工程学报》编委
《模糊系统与数学》编委
《纺织高校基础科学学报》编委
德国数学文摘评论员，IEEE会员
荣誉与奖励：
1985年被授予天津市劳动模范称号
1986年被国家科委和人事部批准为“国家级有突出贡献的中青年专家”
1997年入选“教育部跨世纪优秀人才培养计划”
2002年被教育部授予中国高等学校优秀骨干教师称号
2002年获教育部自然科学一等奖
获2003年度首都劳动奖章
2005年度教育部自然科学二等奖
2013年获得第三界吴文俊人工智能科学技术奖创新1等奖，获奖成果：“模糊系统的概率表示与空间四级倒立摆的控制”。
现工作于大连理工大学控制科学与工程学院模糊信息处理与机器智能研究所，研究领域为：应用数学，控制理论与控制工程，模式识别与人工智能。
大连理工大学李洪兴教授课题组于2010年6月18日在世界上首次实现了空间四级倒立摆实物控制。
[1] Hong-Xing Li, P.C. Philip Chen and Han-Pang Huang, Fuzzy Neural Intelligent
Systems, CRC Press, FL, USA, 2001.
[2] Hong-Xing Li and Vincent C.Yen, Fuzzy Sets and Fuzzy Decision-Making,
CRC Press, FL, USA, 1995.
[3] Peizhuang Wang and Hong-Xing Li, Fuzzy Information Processing and Fuzzy Computers, Science Press New York/Beijing, 1997.
[4] Puyin Liu and Hong-Xing Li, Fuzzy Nerual Network Theory and Application, World Scientific Press, Singapore, 2004.
[1] Hong-Xing Li, Fuzzy perturbation analysis, part 1, Fuzzy Sets and Systems, 17(2), 1985, 189-197. (SCI)
[2] Hong-Xing Li, Fuzzy perturbation analysis, part 2, Fuzzy Sets and Systems, 19(2), 1986, 165-175. (SCI)
[3] Hong-Xing Li, Multifactorial fuzzy sets and multifactorial degree of nearness, Fuzzy Sets and Systems, 19(3), 1986, 291-297. (SCI)
[4] Hong-Xing Li, Fuzzy clustering methods based on perturbation, Fuzzy Sets and Systems, 32(3), 1989, 291-302. (SCI)
[5] Hong-Xing Li, Multifactorial functions in fuzzy sets theory, Fuzzy Sets and Systems, 33(1), 1990, 69-84. (SCI)
[6] Hong-Xing Li, Chengzhong Luo and Peizhuang Wang, The cardinality of fuzzy sets and the continuum hypothesis, Fuzzy Sets and Systems, 55(1993), 61-77. (SCI)
[7] Hong-Xing Li etc, The operations of fuzzy cardinalities, Journal of Mathematical Analysis and Applications, 182(1994),768-778. (SCI)
[8] Hong-Xing Li, Interpolation mechanism of fuzzy control, Science in China (中国科学, Series E), 41(3), 1998, 312-320. (SCI)
[9] Hong-Xing Li, Factor spaces theory and its applications to fuzzy information processing (I), Fuzzy Sets and Systems, 95(2), 1998, 147-160. (SCI)
[10] Hong-Xing Li, The relationship between fuzzy controllers and PID controllers, Science in China (中国科学, Series E), 42(2), 1999, 215-224. (SCI)
[11] Hong-Xing Li, Adaptive fuzzy controllers based on variable universe, Science in China (中国科学, Series E), 42(1), 1999, 10-20. (SCI)
[12] Hong-Xing Li and L.X. Li, Representing diverse mathematical problems using neural networks in hybrid intelligent systems, Expert Systems, 16(4), 1999, 262-272. (SCI)
[13] Hong-Xing Li and C.L. Philip Chen, The equivalence between fuzzy logic systems and feedforward neural networks, IEEE Transactions on Neural Networks, 11(2), 2000, 356-365. (SCI)
[14] Hong-Xing Li, Output-back fuzzy logic systems and equivalence with feedback neural networks, Chinese Science Bulletin（科学通报）, 45(7), 2000, 592-596. (SCI)
[15] Hong-Xing Li and Li-Da Xu, A neural network representation of linear programming, European Journal of Operational Research, 124(2), 2000, 224-234. (SCI)
[16] Hong-Xing Li, V.C. Yen and E.S. Lee, Model of neurons based on factor space, Computers and Mathematics with Applications, 39(2000), 91-100. (SCI)
[17] Hong-Xing Li etc, Factor spaces theory and its applications to fuzzy information processing: Two kinds of factor space canes, Computers and Mathematics with Applications, 40(2000), 835-843. (SCI)
[18] Hong-Xing Li etc, Factor space theory and fuzzy information processing: Fuzzy decision making based on the concepts of feedback extension, Computers and Mathematics with Applications, 40(2000), 845-864. (SCI)
[19] Hong-Xing Li, V.C. Yen and E.S. Lee, Factor space theory in fuzzy information processing: Composition of states of factors and multifactorial decision making, Computers and Mathematics with Applications, 39(2000), 245-265. (SCI)
[20] Pu-Yin Liu and Hong-Xing Li, Approximation of generalized fuzzy systems to integrable functions, Science in China (中国科学, Series E), 43(6), 2000, 613-624. (SCI)
[21] Qing He and Hong-Xing Li, Extension principles and fuzzy set categories, Computers and Mathematics with Applications, 39(2000), 45-53. (SCI)
[22] V.C. Yen and Hong-Xing Li, Concept representation, factor space theory and information systems research, Systems Research and Behavioral Science, 17(2000), 163-172. (SCI)
[23] Hong-Xing Li and Li D Xu, Feature space theory—a mathematical foundation for data mining, Knowledge-Based Systems, 14(5-6), 2001, 253-257. (SCI)
[24] Pu-Yin Liu and Hong-Xing Li, Analyses for Lp( )-norm approximation capability of generalized Mamdani fuzzy systems, Information Sciences, 138 (2001), 195-210. (SCI)
[25] Hong-Xing Li, Zhi-Hong Miao, Jia-Yin Wang, Variable universe adaptive fuzzy control on the quadruple inverted pendulum, Science in China (中国科学, Series E), 2002, 45(2), 213-224. (SCI)
[26] Hong-Xing Li, Zhi-Hong Miao, Jia-Yin Wang, Variable universe stable adaptive fuzzy control of nonlinear system, Science in China (中国科学, Series E), 2002, 45(3), 225-240. (SCI)
[27] Hong-Xing Li, Jia-Yin Wang, Zhi-Hong Miao, Modeling on fuzzy control systems, Science in China (中国科学, Series A), 2002, 45(12), 1506-1517. (SCI)
[28] Xue-Hai Yuan, Hong-Xing Li and E. Stanley Lee, Categories of fuzzy sets and weak topos, Fuzzy Sets and Systems, 127(2002), 291-297. (SCI)
[29] Pu-Yin Liu and Hong-Xing Li, Image restoration techniques based on fuzzy neural networks, Science in China (中国科学, Series F), 2002, 45(4), 274-285. (SCI)
[30] Hong-Xing Li, Li D Xu, Jia-Yin Wang and Zhi-Wen Mo, Feature space theory in data mining: transformations between extensions and intensions in knowledge representation, Expert Systems, 20(2), 2003, 60-71. (SCI)
[31] Hong-Xing Li, Jia-Yin Wang and Zhi-Hong Miao, Marginal linearization method in modeling on fuzzy control systems, Progress in Nature Science, 2003, 13(7), 489-496. (SCI-E)
[32] Hong-Xing Li, Ling-Xia Li and Jia-Yin Wang, Interpolation representation of feedforward neural networks, Mathematical and Computer Modeling, 37, 7-8, (2003), 829-847. (SCI)
[33] Hong-Xing Li and E. S. Lee, Interpolation representations of fuzzy logic systems, Computers & Mathematics with Applications, Volume 45, Issues 10-11, Pages 1683-1693 (May - June 2003). (SCI)
[34] Hong-Xing Li , Yan-Da Li, Zhi-Hong Miao and E. S. Lee, Control functions of fuzzy controllers, Computers & Mathematics with Applications, Volume 46, Issues 5-6, Pages 875-890 (September 2003). (SCI)
[35] Hong-Xing Li and E. S. Lee, Interpolation functions of feedforward neural networks, Computers & Mathematics with Applications, Volume 46, Issue 12, Pages 1861-1874 (December 2003). (SCI)
[36] Shang-Ming Zhou, Hong-Xing Li and Li-Da Xu, A variational approach to intensity approximation for remote sensing images using dynamic neural, Expert Systems, 20(4), 2003, 163-170. (SCI)
[37] Qing He, Hong-Xing Li, Zhong-Zhi Shi and E.S. Lee, Fuzzy clustering method based on perturbation, Computers & Mathematics with Applications, Volume 46, Pages 929-946 ( 2003). (SCI)
[38] Hong-Xing Li, Li LX, Wang Jiayin, Mo Zhiwen, Li Yanda, Fuzzy decision making based on variable weights, Mathematical and Computer Modeling, 39(2004), 163-179. (SCI)
[39] Hong-Xing Li, You Fei and Peng Jiayin, Fuzzy controllers based on some fuzzy implication operators and their response functions, Progress in Natural Science, 2004, 14(1), 15-20. (SCI-E)
[40] Hong-Xing Li, Probability representations of fuzzy systems , Science in China (中国科学, Series F), 2006, 49(3), 339-363. (SCI)
[41] Song-Chol Han and Hong-Xing Li, Indices and periods of incline matrices, Linear Algebra and Its Applications, 387(2004), 143-165. (SCI)
[42] Pu-Yin Liu and Hong-Xing Li, Efficient learning algorithms for three-layer regular feedforward fuzzy neural networks, IEEE Transactions on Neural Networks, 15(3), 2004, 545-558. (SCI)
[43] Xiao-Jun Tong, Mianyun Chen, Hong-Xing Li, Pan-operators, strunture with non-idempotent pan-addition, Fuzzy Sets and Systems, 145, 2004, 463-470. (SCI)
[44] Song-Chol Han and Hong-Xing Li, Invertible incline matrices and Cramer’s rule over inclines, Linear Algebra and Its Applications, 389(2004), 121-138. (SCI)
[45] Song-Chol Han, Hong-Xing Li and Yun-Dong Gu, Standard eigenvectors of incline matrices, Linear Algebra and Its Applications, 389(2004), 235-248. (SCI)
[46] Song-Chol Han, Hong-Xing Li, The semigroup of incline Hall matrices, Linear Algebra and Its Applications, 390(2004), 183-196. (SCI)
[47] Hong-Xing Li, Jia-Yin Wang, Yan-Bin Feng and Yun-Dong Gu, Hardware implementation of the quadruple inverted pendulum with single motor, Progress in Nature Science, 2004, 14(9), 822-827. (SCI)
[48] Pu-Yin Liu and Hong-Xing Li, Approximation analysis of feedforward regular fuzzy netural network with two hidden layers, Fuzzy Sets and Systems, 150, 2005, 373-396. (SCI)
[49] Pu-Yin Liu and Hong-Xing Li, Hierarchical TS fuzzy system and its universal approximation, Information Sciences, 169(3-4), 2005, 279-303. (SCI)
[50] Song-Chol Han, Hong-Xing Li, Notes on “Pseudo-t-norms and implication
operators on a complete Brouwerian lattice” and “Pseudo-t-norms and implication operators: direct products and direct product decompositions”, Fuzzy Sets and Systems, 153(2005), 289-294. (SCI)
[51] Pu-Yin Liu and Hong-Xing Li, Approximation of stochastic processes by T-S Fuzzy systems, Fuzzy Sets and Systems, 150, 2005, 373-396. (SCI)
[52] Song-Chol Han, Hong-Xing Li and Jia-Yin Wang, On nilpotent incline matrices, Linear Algebra and Its Applications, 406(2005), 207-217. (SCI)
[53] Pu-Yin Liu and Hong-Xing Li, An improved feedforward fuzzy neural network and its learning algorithm，Journal of Multiple-Valued Logic and Soft Comp.， 2004，10(3)：205-220. (SCI)
[54] Song-Chol Han, Hong-Xing Li, Some conditions for matrices over an incline to be invertible and general linear group on an incline, Acta Mathematica Sinica (数学学报), 21(5), 2005, 1093-1098. (SCI)
[55] Song-Chol Han, Hong-Xing Li, Matrix equations in left residuated lattice-ordered groupoids, Fuzzy Systems and Mathematics, 19(3), 2005, 38-45.
[56] Song-Chol Han, Hong-Xing Li, Power sequence of lattice matrices with composition, Southeast Asian Bulletin of Mathematics, 29(5), 2005, 873-886.
[57] Wen-Yi Zeng, Hong-Xing Li, Inner product truth-valued flow inference, Uncertainly, Fuzziness and Knowledge-Based Systems, 13(6), 2005, 601-612. (SCI-E)
[58] 李洪兴，彭家寅，王加银. 常见模糊蕴涵算子的模糊系统及其响应函数. 控制理论与应用, 2005, 22（3）：341-347.
[59] 李洪兴, 模糊控制的本质与一类高精度模糊控制器的设计, 控制理论应用, 14(6), 1997, 868-876.
[60] Wen-yi Zeng, Hong-Xing Li, Note on “Some operations on intuitionistic fuzzy sets”, Fuzzy Sets and Systems, Volume 157, Issue 7, 1 April 2006, Pages 990-991. (SCI)
[61] Song-Chol Han, Hong-Xing Li and Jia-Yin Wang, Resolution of finite fuzzy relation equations based on strong pseudo-t-norms, Applied Mathematics Letters, 19(2006), 752-757. (SCI)
[62] Wen-yi Zeng, Hong-Xing Li, Relationship between similarity measure and entropy of interval valued fuzzy sets, Fuzzy Sets and Systems, Volume 157, Issue 11, 1 June 2006, Pages 1477-1484. (SCI)
[63] Pu-Yin Liu and Hong-Xing Li, Symmetric polygonal number space, The Journal of Fuzzy Mathematics, 14(2), 2006, 373-396.
[64] Song-Chol Han, Hong-Xing Li, Solvability of L-fuzzy relation in generalized one-sided residuated groupiods, Southeast Asian Bulletin of Mathematics, 30(3), 2006, 671-683.
[65] Wenyi Zeng, Hong-Xing Li, Inclusion measures, similarity measure, and the fuzziness of fuzzy sets and their relations, International Journal of Intelligent Systems, 21(6), 2006, 636-653. (SCI)
[66] Xiao-Jun Tong, Hong-Xing Li, Mian-Yun Chen and Yi Lin, Distributivity and Zadeh’s operators, Kybernetes: The International Journal of Systems & Cybernetics, 35(10), 2006, 1628-1635.
[67] Song-Chol Han and Hong-Xing Li, Maximum order-index of matrices over commutative inclines: An answer to an open problem, Linear Algebra and Its Applications, 420(2007), 228-234. (SCI)
[67] Song-Chol Han and Hong-Xing Li, Maximum order-index of matrices over commutative inclines: An answer to an open problem, Linear Algebra and Its Applications, 420(2007), 228-234. (SCI)
[68] 苗志宏，李洪兴. 鲁棒极点配置约束下的模糊控制系统设计. 控制理论与应 用, 2004, 21（5）：729-734.
[69] 赵芬霞，李洪兴. 正则模糊神经网络在Sugeno积分模意义下的泛逼近性. 应用数学学报，2006, 29(1): 39-45
[70] 彭家寅, 李洪兴. Fuzzy HX环的推广. 数学进展，2006, 35(1): 67-74.
[71] 张宇卓，李洪兴. 广义递阶Mamdani模糊系统及其泛逼近性. 控制理论与应用, 2006, 23（3）：449-454
[72] 侯健，李洪兴，王加银. 两类模糊系统具有插值性的充分条件. 控制理论与应用, 2006, 23（2）：287-291
[73] 彭家寅，李洪兴，侯健，尤飞，王加银. 基于逐点优化模糊推理的模糊控制器及插值机理. 系统科学与数学, 2005, 25（3）：311-322.
[74] 李洪兴，彭家寅，王加银，侯健，张宇卓. 基于三I算法的模糊系统及其响应性能. 系统科学与数学, 2005, 25（5）：578-590.
1985年被授予天津市劳动模范称号，1986年被国家人事部批准为“国家级有突出贡献的中青年专家”。1997年入选“教育部跨世纪优秀人才培养计划”。2002年被教育部授予中国高等学校优秀骨干教师称号。获2002年度教育部提名国家科学技术奖自然科学一等奖。2003年5月获首都劳动奖章。2003年7月被评为北京师范大学校级优秀共产党员，2004年7月被评为北京师范大学校级优秀共产党员。获2005年度教育部提名国家科学技术奖自然科学二等奖。