Tel: +86-10-82544671

Email: biao.luo@ia.ac.cn / biao.luo@hotmail.com

Address: 95 Zhongguancun East Road Beijing 100190 China

  • 2016/11 – Present: Associate Professor, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

  • 2014/09 – 2016/10: Assistant Professor, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

  • 2015/06 – 2015/07: Postdoctoral Research Associate (2 months), Department of Science, Texas A&M University, Doha, Qatar.

  • 2014/06 – 2014/08: Research Assistant (2 months + 5 days), Department of Science, Texas A&M University, Doha, Qatar.

  • 2013/09 – 2013/12: Research Assistant (3 months), Department of Science, Texas A&M University, Doha, Qatar.

  • 2013/02 – 2013/08: Research Assistant (6 months), Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong.

  • 2010/09 – 2014/07: Ph.D., Beihang University, Beijing, China

  • 2006/09 – 2009/07: M.E., Xiangtan University, Xiangtan, China

  • 2002/09 – 2006/07: B.E., Xiangtan University, Xiangtan, China

  • 2015/11: Chinese Association of Automation Outstanding Ph.D. Dissertation Award, Chinese Association of Automation(CAA), China

  • 2015/06: Outstanding Ph.D. Dissertation Award of Beihang University, Beihang University, China

  • 2014/06: Beijing Outstanding Graduate, Beijing Municipal Commission of Education, China

  • 2014/05: Outstanding Ph.D. Student of Beihang University, Beihang University, China

  • 2013/05: Outstanding Paper Award of Beihang University, Beihang University, China

  • 2012/12: National Scholarship of China, Ministry of Education, China

  • 2012/11: CASC Scholarship (first class), China Aerospace Science and Technology Corporation, China

  • 2011/03: Outstanding Master Dissertation of Hunan Province, Hunan Provincial Education Department,China

  • 2009/03: Outstanding Graduate of Hunan Province, Hunan Provincial Education Department, China

  • 2008/05: Outstanding Student of Hunan Province, Hunan Provincial Education Department, China

  • 2017/01 – Present: Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence

  • 2015/01 – Present: Associate Editor, Artificial Intelligence Review

  • 2016/07 – Present: Secretariat,  Adaptive Dynamic Programming and Reinforcement Learning Technical Committee,Chinese Association of Automation

  • 2015/09 – Present: Member of IEEE

  • 2015/09 – Present: Member of IEEE System, Man and Cybernetics Society

  • 2016: Conference Secretariat, The 12th World Congress on Intelligent Control and Automation (WCICA 2016), Guilin, China, June 12-17, 2016

  • 2016: Publication Chair, The 13th International Symposium on Neural Networks(ISNN 2016), July 6-8, 2016

  • 2015: Conference Secretariat, Fifth International Conference on Information Science and Technology (ICIST 2015), Changsha, China, April 24–26, 2015

  • 2016: Program Committee Member, 12th World Congress on Intelligent Control and Automation (WCICA 2016), Guilin, China, June 12-17, 2016

  • 2016: Program Committee Member, Eighth International Conference on Advanced Computational Intelligence (ICACI2016), Chiang Mai, Thailand, February 14-16,2016

  • 2015: Program Committee Member, The Fifth International Conference on Information Science and Technology (ICIST 2015), Changsha, China, April 24–26, 2015

  • Reviewer, IEEE TNNLS, IEEE TCyb, IEEE TSMC-A,IEEE TIE, IEEE TCST, etc.

Journal Papers:

  • Biao Luo, Derong Liu, Huai-Ning Wu, Ding Wang and Frank L. Lewis, “Policy gradient adaptive dynamic programming for data-based optimal control,” IEEE Transactions onCybernetics, vol.47, no. 10, pp. 33413354 , Oct. 2017.

  • Biao Luo, Derong Liu, Tingwen Huang and Ding Wang, “Model-free optimal tracking control via critic-only Q-learning,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 10, pp. 2134–2144 , Oct. 2016.

  • Xiong Yang, Derong Liu, Biao Luo, and Chao Li, “Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning,” Information Sciences, vol. 369, pp.731-747 , Oct. 2016.

  • Ding Wang, Derong Liu, Hongliang Li, Biao Luo and Hongwen Ma, “An approximate optimal control approach for robust stabilization of a class of discrete-time nonlinear systems with uncertainties,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 5, pp. 713–717, May 2016.

  • Hongwen Ma, Derong Liu, Ding Wang and Biao Luo, “Bipartite output consensusin networked multi-agent systems of high-order power integrators with signed digraph and input noises,” International Journal of Systems Science, vol. 47, no. 13, pp. 3116-3131, 2016.

  • Biao Luo, Tingwen Huang, Huai-Ning Wu and Xiong Yang,“Data-driven H∞ control for nonlinear distributed parameter systems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 11, pp. 2949-2961,2015.

  • Biao Luo, Huai-Ning Wu, Tingwen Huang, “Off-policy reinforcement learning for H∞ control design,” IEEE Transactions on Cybernetics, vol. 45, no. 1, pp. 65-76, 2015.

  • Biao Luo, Huai-Ning Wu and Han-Xiong Li, “Adaptive optimal control of highly dissipative nonlinear spatially distributed processes with neuro-dynamic programming,” IEEE Transactions on Neural Networks and Learning Systems, vol.26, no.4, pp.684-696, 2015.

  • Biao Luo, Huai-Ning Wu, Tingwen Huang and Derong Liu, “Reinforcement learning solution for HJB equation arising in constrained optimal control problem,” Neural Networks, vol. 71, pp. 150-158,2015.

  • Biao Luo, Huai-Ning Wu, Tingwen Huang and Derong Liu,“Data-based approximate policy iteration for nonlinear continuous-time optimal control design,” Automatica, vol. 50, no. 12, pp. 3281-3290, 2014.

  • Biao Luo, Huai-Ning Wu and Han-Xiong Li, “Data-based optimal neuro-control design with reinforcement learning for dissipative spatially distributed processes,” Industrial & Engineering Chemistry Research, vol. 53, no. 29, pp. 8106-8119, 2014.

  • Huai-Ning Wu and Biao Luo, “L2 disturbance attenuation for highly dissipative nonlinear spatially distributed processes via HJI approach," Journal of Process Control, vol. 24, no. 5, pp.550-567, 2014.

  • Yangming Zhang, Guorong Liu and Biao Luo, “Finite-time cascaded tracking control approach for mobile robots,” Information Sciences, vol. 284, pp. 31-43, 2014.

  • Huai-Ning Wu and Biao Luo, “Simultaneous policy update algorithms for learning the solution of linear continuous-time H∞ state feedback control,” Information Sciences, vol. 222, pp. 493-506, 2013.

  • Biao Luo and Huai-Ning Wu, “Computationally efficient simultaneous policy update algorithm for nonlinear H∞ state feedback control with Galerkin's method,” International Journal of Robust and Nonlinear Control, vol.23, no. 7, pp.991-1012, 2013.

  • Chao Guo, Huai-Ning Wu, Biao Luo and Lei Guo, “H∞ control for air-breathing hypersonic vehicle based on online simultaneous policy update algorithm,” International Journal of Intelligent Computing and Cybernetics, vol. 6, no.2, pp. 126-143, 2013.

  • Biao Luo and Huai-Ning Wu, “Approximate optimalcontrol design for nonlinear one-dimensional parabolic PDE systems using empirical eigenfunctions and neural network,” IEEE Transactions on Systems, Man,and Cybernetics-Part B: Cybernetics, vol. 42, no. 6, pp. 1538-1549, 2012.

  • Huai-Ning Wu and Biao Luo, “Neural network based online simultaneous policy update algorithm forsolving the HJI equation in nonlinear H∞ control,” IEEE Transactions on Neural Networks and Learning Systems, vol.23, no. 12, pp. 1884-1895, 2012.

  • Huai-Ning Wu and Biao Luo, “Heuristic dynamic programming algorithm for optimal control design of linear continuous-time hyperbolic PDE systems,” Industrial & Engineering Chemistry Research, vol. 51, no. 27, pp.9310-9319, 2012.

  • Biao Luo and Huai-Ning Wu, “Online policy iteration algorithm for optimal control of linear hyperbolic PDE systems,” Journal of Process Control, vol. 22, no. 7, pp. 1161-1170, 2012.

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