Introduction

sany0013.jpg (169104 bytes)Dr. Hai-Tao Fang received his B.S. degree in probability and statistics in 1990, M.S. degree in applied mathematics in 1993 and Ph.D. degree in 1996 respectively from the Peking University, Tsinghua University and Peking University. He now is with the Laboratory of Systems and Control, Academy of Mathematics and System Sciences, Chinese Academy of Sciences as a Professor.

From 1996-1998 he was a Postdoc at the Institute of Systems Science and joined the Institute as an Assistant Professor in 1998. His current research interests include optimization，identification and control in stochastic systems and their applications in signal processes and communication.


 Research Interests

 

    Stochastic optimization and systems control

    Markov Desicion Processes and Its Application

    Blind Identification and Equlization
Publication List

 


 

    Fang Hai-Tao, Gong Guang-lu, The Generalized Einstein Relation on a Compact Orientable Riemannian Manifold, Mathematica Acta Scientia, Vol.14(1994)(4), 409-416.
    Fang Hai-Tao, Gong Guang-lu, The Einstein Relation on a Compact Manifold with Boundary. Advanced in Mathematics, Vol. 24(1995)(4), 357-364.
    Fang Hai-Tao, Gong Guang-lu, Einstein's Formula for Stationary Diffusions on Riemannian Manifolds, Dirichlet Forms and Stochastic Processes, Eds.: Ma/Rockner/Yan, Walter de Gruyter & Co. Berlin, 1995, 127-137.
    Fang Hai-Tao, Qian Min-ping and Gong Guang-lu, Disconvergence of Cauchy Annealing. Science in China, series A, Vol.39(1996)(9), pp. 945-954.
    Fang Hai-Tao, Gong Guang-lu, Einstein Relations of Velocities of Diffusions Along Schwartz's 2-forms, Advances in Mathematics, Vol.26(1997)(1), pp.13-21.
    Fang Hai-Tao, Gong Guang-lu and Qian Min-ping, Annealing of Iterative Stochastic Schemes, SIAM Journal of Control and Optimization, Vol. 35(1997)(6), pp.1886-1907.
    Fang Hai-Tao, Qian Min-ping and Gong Guang-lu, An Improved Annealing Method and Its Large Time Behavior, Stochastic Processes and Their Applications, Vol.71(1997)(2), pp.55-74.
    Fang Hai-Tao, Chen Han-Fu, Sharp Convergence Rates of Stochastic Approximation for Degenerate Roots. Science in China, Series E.,Vol. 41(1998)(4), pp.383-392.
    Fang Hai-Tao, Chen Han-Fu, Recursive Global Stochastic Optimization, Proceeding of 14th IFAC Congress, 1999.
    Chen Han-Fu and Fang Hai-Tao, Modelling by Use of Global Stochastic Optimization Algorithms, Proceeding of 14th IFAC Congress, 1999.
    Fang Hai-Tao and Chen Han-Fu, Stability and Instability of Limit Points of Stochastic Approximation Algorithms, IEEE Trans. on Automatic Control, Vol. 45, No.3, 2000, pp.413-420.
    Fang Hai-Tao and Chen Han-Fu, Almost Surely Convergent Global Optimization Algorithm Using Noise-corruption Observation, J. Optimization Theory and Applications, Vol. 104, No. 2, 2000.

13.  Fang Hai-Tao, Chen Han-Fu and Cao Xi-Ren, Recursive Approaches for Single Sample Path Based Markov Reward Processes, Asian Journal of Control, 2001, Vol. 3(1), pp.21-26.

14.Fang Hai-Tao and Chen Han-Fu, Asymptotic Behavior of Asynchronous Stochastic Approximation, Science in China, Series F, 2001, Vol. 44(4), pp. 249-258.

15.Chen Han-Fu, Cao Xianbin and Fang Hai-Tao,  Stability of Adaptively Stabilized Stochastic Systems, IEEE Trans. on Automatic Control, 2001, Vol. 46(11), pp. 1832-1836.

16.  Chen Han-Fu and Fang Hai-Tao, Nonconvex Stochastic Optimization for Model Reduction, J. Global Optim., 2002, 23, pp.359-372.

17.  Fang Hai-Tao and Chen Han-Fu, Blind Channel Identification Based on Noisy Observation by Stochastic Approximation Method, J. Global Optim., 2003, 27, pp.249-271.

18.  Fang Hai-Tao and Cao Xi-Ren, Potential-Based On-line Policy Iteration Algorithms for Markov Decision Processes, IEEE Trans. Automat. Control, 2004, 49, pp. 493-505.

19.  Chen Han-Fu and Fang Hai-Tao, Output Tracking for Nonlinear Stochastic Systems by Iterative Learning Control, IEEE Trans. Automat. Control, 2004, 49, pp. 583-588.

20.  Chen Han-Fu, Cao, Xi-Ren, Fang Hai-Tao and Zhu Jie, Nonlinear Adaptive Blind Whitening for MIMO Channels, IEEE Trans. Signal Process., 2005, 53, pp. 2635-2647.

 Corresponding Information

Dr. Hai-Tao Fang
Institute of Systems Science
Chinese Academy of Sciences
Beijing 100080, China
Email: htfang@iss.ac.cn