Hai-Tao Fang

On the observability and detectability of linear stochastic systems with Markov jumps and multiplicative noise

Weihai Zhang, Yuan-Hua Ni, Hai-Tao Fang, 2010, J. Syst. Sci. Complex..

A novel robust regression approach of Lidar signal based on modified least squares support vector machine

De-Shuang Huang, Hai-Tao Fang, Bing-Yu Sun, 2005, Int. J. Pattern Recognit. Artif. Intell..

Extracting mode components in laser intensity distribution by independent component analysis.

De-Shuang Huang, Hai-Tao Fang, De-shuang Huang, 2005, Applied optics.

Algorithms of Blind Equalization and Channel Identification

Han-Fu Chen, Xi-Ren Cao, Hai-Tao Fang, 2001 .

Policy Iteration Algorithm for Singular Controlled Diffusion Processes

Yuan-Hua Ni, Hai-Tao Fang, H. Fang, 2013, SIAM J. Control. Optim..

Design of a Machine for Assembling the Buffer Components in the Concealed Hinge

Kai He, Wei Feng, Hai-Tao Fang, 2017 .

Lidar signal denoising using least-squares support vector machine

De-Shuang Huang, Bing-Yu Sun, Hai-Tao Fang, 2005, IEEE Signal Processing Letters.

Message from Guest Editors of the Special Issue

Ji-Feng Zhang, Hai-Tao Fang, 2007, J. Syst. Sci. Complex..

Recursive identification of MIMO Wiener systems with general inputs

Yue-Ping Jiang, Hai-Tao Fang, H. Fang, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

One alignment method for SINS in vehicular environment

Hai-Tao Fang, Yu-Tao Mu, 2011, Proceedings of the 30th Chinese Control Conference.

Wavelet de-noising by means of trimmed thresholding

De-Shuang Huang, Hai-Tao Fang, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

Antinoise approximation of the lidar signal with wavelet neural networks.

De-Shuang Huang, Hai-Tao Fang, Yong-Hua Wu, 2005, Applied optics.

Gradient-based policy iteration: an example

Xi-Ren Cao, Hai-Tao Fang, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..