Prof. Yeung YAM

Professor and Chairman

 

Education

  • BSc, Chinese University of Hong Kong
  • MSc, Universiry of Akron, Akron, OH, USA
  • MSc, ScD, Massachusetts Institute of Technology, Cambridge, MA, USA

Positions

Research Interests

  • Fuzzy approximation
  • Control system analysis and design
  • System identification
  • Formation flying
  • Intelligent and autonomous systems

Address

Office: Room 213
  William M.W. Mong Engineering Building
  The Chinese University of Hong Kong
  Shatin, N.T., Hong Kong
Tel: +(852)3163 4227
Fax: +(852)2603 6002
e-mail: yyam@acae.cuhk.edu.hk

Activities

  • Over 80 technical papers in various areas of research interests

  • On-going research projects:

    •  Robot Drawing of Chinese Painting and Calligraphy: A drawing platform with 5 DOFs for the modeling, identification and validation of brush-pen techniques. GA-based stroke generation for duplication of given artwork. Rendition and creation of new art styles.

    • Fuzzy Reduction, Approximation and Identification: Singular value-based approach to generate fuzzy rules from given input/output samples. Membership functions characterized by the conditions of sum normalization, non-negativeness, and normality.

    • Grid Point design/SVD consolidation Approach: Computational-based design approach for nonlinear system via grid point sampling, design, and parametric consolidation. Overall stability proof via Lyapunov analysis.

    • Formation Maneuvering of Autonomous Controlled Units: Formation characteristics and control architecture for assembly of control units. Validation platform in development supports experimental studies of formation breakup and re-establishment via imposing interactive potential between units.

  • Postgraduate supervision:

    • On-going: 2 PhD, 3 MPhil

    • Degree awarded: 2 PhD, 7 MPhil

  • Teaching

Selected Publications

1.      Y. Yam, M. L. Wong, and P. Baranyi, “Interpolation with Function Space Representation of Membership Functions,” Accepted for publication in IEEE Transactions on Fuzzy Systems.

2.      K.W. Lo, K.W. Kwok, and Y. Yam, “Automated Replication of Line Drawings By a Robot Drawing Platform,” Proceedings of the 8th World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, July 18-21, 2004, Vol. 17, pp. 80-85.

3.      Y. Yam, K.W. Lo, and K.W. Kwok, “A Robot Drawing System: Preliminary Design and Demonstration,” Proceedings of the 2003 International Conference on Intelligent Technologies (Intech2003), Chiang Mai, Thailand, December 17-19, 2003, pp. 545--551.

4.      Y. Yam and K.M. Tong, “A Scaled-down Testbed for Human Driver Modeling and Evaluation,” Proceedings of the 2003 IEEE International Conference on Robotics, Intelligent Systems, and Signal Processing (RISSP'03), Changsha, China, October 8-13, 2003, pp. 376-381.

5.      P. Baranyi, Y. Yam, D. Tikk and R. J. Patton, “Trade-off Between Approximation Accuracy and Complexity: TS Controller Design via HOSVD Based Complexity Minimization,” Interpretability Issues in Fuzzy Modelling, J. Casillas, O. Cordón. F. Herrera, L. Magdalena (Editors), Studies in Fuzziness and Soft Computing, Springer-Verlag, 2003, pp. 249-277.

6.      Y. Yam, C.T. Yang, and P. Baranyi, “Singular Value-Based Fuzzy Reduction with Relaxed Normality Condition,” Interpretability Issues in Fuzzy Modelling, J. Casillas, O. Cordón. F. Herrera, L. Magdalena (Editors), Studies in Fuzziness and Soft Computing, Springer-Verlag, 2003, pp. 325-354.

7.      P. Baranyi, Y. Yam, A. Varkonyi-Kóczy, R.J. Patton, P. Michelberger and M. Sugiyama, “SVD Based Reduction to TS Fuzzy Models,” IEEE Transaction on Industrial Electronics, Vol. 49, No. 2, April 2002, pp. 433-443.

8.      P. Baranyi, Y. Yam, C.T. Yang, P. Varlaki and P. Michelberger, “Inference Algorithm Independent SVD Fuzzy Rule Base Complexity Reduction,” International Journal of Advanced Computational Intelligence, Vol. 5, No. 1, 2001, pp 22-30.

9.      Y. Yam and L.T. Kóczy, “Representing Membership Functions as Points in High Dimensional Spaces for Fuzzy Interpolation and Extrapolation,” IEEE Transactions on Fuzzy Systems, Vol. 8, No. 6, Dec. 2000, pp. 761-772.

10.  Y. Yam, P. Baranyi, and C.T. Yang, “Reduction of Fuzzy Rule Base via Singular Value Decomposition, IEEE Transactions on Fuzzy Systems, Vol. 7, No. 2, April 1999, pp. 120-132.

11.  K.L. Tung and Y. Yam, “System Identification and Control Synthesis for A Benchmark Problem,” IEEE Transactions on Control Systems Technology, Vol. 6, No. 1, January 1998, pp. 103-110.

12.  C.C. Lo and Y. Yam, “Derivation of An Improved Hodgkin-Huxley Model for Potassium Channel by Means of the Fokker-Planck Equation,” Journal of Statistical Physics, Vol. 89, Issue 5/6, December 1997, pp. 997-1016.

13.  Y. Yam, “Fuzzy Approximation via Grid Point Sampling and Singular Value Decomposition,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 27, No. 6, December 1997, pp. 933-951.

14.  Y. Yam, “Subsystem Inference Representation for Fuzzy Systems based upon Product -Sum-Gravity Rule,” IEEE Transactions on Fuzzy Systems, Vol. 5, No. 1, February 1997, pp. 90-107.

Last update: December 16, 2004