刘德荣 - 广东工业大学

个人简介

教育背景 1990–1993年，美国圣母大学(University of Notre Dame)，电气工程系，获电气工程博士学位 1984–1987年，中国科学院自动化研究所，获工学硕士学位 1978–1982年，华东工学院 (现南京理工大学)，机电工程系，获工学学士学位工作经历 1982–1984年，北方工业公司国营向阳仪表厂技术员 1987–1990年，中国科学院研究生院无线电电子学部助教 1993–1995年，美国通用汽车公司研究开发中心StaffFellow 1995–1999年，美国斯蒂文斯理工学院电气与计算机工程系助教授 1999年开始，美国芝加哥伊利诺伊大学电气与计算机工程系助教授、终身职副教授、2006年起任终身职正教授 2008–2015年，中国科学院自动化研究所研究员、博士生导师 2015–2016年，北京科技大学自动化学院教授、博士生导师 2017–今，广东工业大学自动化学院教授、博士生导师主要荣誉 Fellow，国际模式识别学会（IAPR）2016 Fellow，国际神经网络学会（INNS）2013 Fellow，电气与电子工程学会（IEEE）2005 中国科学院“优秀研究生指导教师”奖，2013 亚太神经网络联合会（APPNA）杰出成就奖，2014 神经信息处理国际大会（ICONIP）最佳论文奖：2015和2013，两次获奖伊利诺伊大学UniversityScholar奖，2006 美国国家科学基金会教授早期事业发展奖（NSFCAREER Award）1999 斯蒂文斯理工学院HarveyN. Davis杰出教学奖，1997

研究领域

智能控制理论及应用、复杂工业系统建模与控制、计算智能、智能信息处理、自适应动态规划、强化学习

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

D. Liu , E. I.Sara, and W. Sun, “Nested auto-regressive processes for MPEG-encoded video trafficmodeling,” IEEE Transactions on Circuitsand Systems for Video Technology, vol. 11, no. 2, pp. 169–183, Feb. 2001. D. Liu and A.Molchanov, “Criteria for robust absolute stability of time-varying nonlinearcontinuous-time systems,” Automatica,vol. 38, no. 4, pp. 627–637, Apr. 2002. D. Liu, T.-S.Chang, and Y. Zhang, “A constructive algorithm for feedforward neural networkswith incremental training,” IEEETransactions on Circuits and Systems-I: Fundamental Theory and Applications,vol. 49, no. 12, pp. 1876–1879, Dec. 2002. D. Liu, S. Hu,and J. Wang, “Global output convergence of a class of continuous-time recurrentneural networks with time-varying thresholds,” IEEE Transactions on Circuits and Systems-II: Express Briefs, vol.51, no. 4, pp. 161–167, Apr. 2004. D. Liu, Y.Zhang, and H. Zhang, “A self-learning call admission control scheme for CDMAcellular networks,” IEEE Transactions onNeural Networks, vol. 16, no. 5, pp. 1219–1228, Sept. 2005. D. Liu and Y.Cai, “Taguchi method for solving the economic dispatch problem with nonsmoothcost functions,” IEEE Transactions onPower Systems, vol. 20, no. 4, pp. 2006–2014, Nov. 2005. D. Liu, X.Xiong, B. DasGupta, and H. Zhang, “Motif discoveries in unaligned molecularsequences using self-organizing neural networks,” IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 919–928,July 2006.[13] D. Liu, S. Hu,and H. Zhang, “Simultaneous blind separation of instantaneous mixtures witharbitrary rank,” IEEE Transactions onCircuits and Systems-I: Regular Papers, vol. 53, no. 10, pp. 2287–2298,Oct. 2006. D. Liu, Z.Pang, and S. R. Lloyd, “A neural network method for detection of obstructivesleep apnea and narcolepsy based on pupil size and EEG,” IEEE Transactions on Neural Networks, vol. 19, no. 2, pp. 308–318,Feb. 2008. D. Liu, H.Javaherian, O. Kovalenko, and T. Huang, “Adaptive critic learning techniquesfor engine torque and air-fuel ratio control,” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics,vol. 38, no. 4, pp. 988–993, Aug. 2008. D. Liu, D.Wang, D. Zhao, Q. Wei, and N. Jin, “Neural-network-based optimal control for aclass of unknown discrete-time nonlinear systems using globalized dualheuristic programming,” IEEE Transactionson Automation Science and Engineering, vol. 9, no. 3, pp. 628–634, July2012. D. Liu and Q.Wei, “Finite-approximation-error-based optimal control approach fordiscrete-time nonlinear systems," IEEETransactions on Cybernetics, vol. 43, no. 2, pp. 779–789, Apr. 2013. D. Liu, D.Wang, and H. Li, “Decentralized stabilization for a class of continuous-timenonlinear interconnected systems using online learning optimal controlapproach,” IEEE Transactions on NeuralNetworks and Learning Systems, vol. 25, no. 2, pp. 418–428, Feb. 2014. D. Liu and Q.Wei, “Policy iteration adaptive dynamic programming algorithm for discrete-timenonlinear systems,” IEEE Transactions onNeural Networks and Learning Systems, vol. 25, no. 3, pp. 621–634, Mar.2014. D. Liu, H. Li,and D. Wang, “Online synchronous approximate optimal learning algorithm formultiplayer nonzero-sum games with unknown dynamics,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol.44, no.8, pp. 1015–1027, Aug. 2014. D. Liu, D.Wang, F. Wang, H. Li, and X. Yang, “Neural-network-based online HJB solutionfor optimal robust guaranteed cost control of continuous-time uncertainnonlinear systems,” IEEE Transactions onCybernetics, vol. 44, no. 12, pp. 2834–2847, Dec. 2014. D. Liu, H. Li,and D. Wang, “Error bounds for adaptive dynamic programming algorithms forsolving undiscounted optimal control problems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26,no. 6, pp. 1323–1334, June 2015. D. Liu, X.Yang, D. Wang, and Q. Wei, “Reinforcement-learning-based robust controllerdesign for continuous-time uncertain nonlinear systems subject to inputconstraints,” IEEE Transactions onCybernetics, vol.45, no.7, pp.1372–1385, July 2015. D. Liu, Q.Wei, and P. Yan, “Generalized policy iteration adaptive dynamic programming fordiscrete-time nonlinear systems,” IEEETransactions on Systems, Man, and Cybernetics: Systems, vol. 45, no. 12,pp. 1577–1591, Dec. 2015.

学术兼职

2016–2018年，亚太神经网络学会，副主席 2016–2018年，IEEE计算智能学会DistinguishedLecturer 2015–2017年和2006–2008年，IEEE计算智能学会理事（AdComMember） 2014–今，ArtificialIntelligence Review (Springer)，主编 2014–今，IEEE/CAAJournal of Automatica Sinica，副主编 2014–2017年，IFAC理事会成员（CouncilMember） 2013–今，自动化学报，副主编 2012–2014年，IEEE计算智能学会DistinguishedLecturer 2012–2014年，IEEE计算智能学会北京分会主席 2011–今，中国自动化学会常务理事 2011–2015年，亚太神经网络联合会理事（BoG）和2016–今，亚太神经网络学会理事（BoG） 2010–2015年，IEEETransactions on Neural Networks and Learning Systems，主编 2010–2012年，国际神经网络学会理事（BoG） 2008年起，在24个国际会议上做过大会报告和邀请报告 2005–2008年，IEEE计算智能学会芝加哥分会主席 24thInternational Conference on Neural Information Processing (ICONIP 2017)，总主席 12thWorld Congress on Intelligent Control and Automation (WCICA 2016)，总主席 2014IEEE World Congress on Computational Intelligence (WCCI 2014)，总主席 InternationalJoint Conference on Neural Networks (IJCNN 2008)，程序主席