Electrical and Computer Engineering North Carolina A&T State University
 
  Dr. David Song
  Professor
Langley Distinguished Professor
Department of Electrical and Computer Engineering
Director of the Center for Cooperative Systems
 








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 Education:
  B.S. , Electronics Engineering, Chengdu University of Science and Technology, China, 1983
M.S., Electrical Engineering, Chongqing University, China, 1985
Ph.D., Electrical and Computer Engineering, Tennessee Tech. University, 1992
 
Appointments:
  • Langley Distinguished Professor, National Institute of Aerospace, 3/2005-present
• Professor, Dept. of Electrical and Computer Science, NC A&T State University, 7/2004-present
• Associate Professor, Dept. of Electrical Engineering, NC A&T State University, 7/1999-7/2004
• Assistant Professor, Dept. of Electrical Engineering, NC A&T State University, 7/1993-7/1999
• Research Professor, Oak Ridge National Research Laboratory, 6/1995-8/1995
• Research Professor, Wright Research Lab, Eglin Air Force Base, 6/1996-9/1996
• Research Professor, Navy Surface Warfare Research Lab, Bethesda, MD, 6/2003-8/2003
 
 
Awards:
  • Teaching of Excellence Award (College of Engineering), 1996
• DoE Research Excellence Award, 1997
• Outstanding Young Research Award, 2000
• NASA Faculty Research Award, 2000
• ONR Research Award, 2003
• Outstanding Senior Research Award (NC A&T State University), 2004
• ARO Research award, 2004
 
 
Selected Publications:
 
  Five Most Closely Related Publications
  1. C. Bolden and Y. D. Song. Control of nonlinear systems using short-term memory-based approach. 2004 World Automation Congress (WAC’04), Seville, Spain, June 2004.
  2. Tao Dong, X. H. Liao, Ran Zhang; Zhao Sun and Y. D. Song “Path Tracking and Obstacles Avoidance of UAVs - Fuzzy Logic Approach”, 14th IEEE International Conference on Fuzzy Systems, FUZZ '05, Reno, NV, pp. 43 – 48, May 22-25, 2005.
  3. Y. Li and Y. D. Song, “Neurophysiologic Study on Sensorimotor Control Mechanism in Superior Colliculus of Echolocating Bat” American Control Conference, Minnesota, June 2006.
  4. Y. D. Song, “Memory-based Control of Nonlinear Dynamic Systems: Part I – Design and Analysis”, IEEE Int. Conference on Industrial Electronics Application (ICIEA), Singapore, May 2006.
  5. Yaohang Li , T. Dong, M. Bikdash, Y. Song, “Path Planning for Unmanned Vehicles using Ant Colony Optimization on a Dynamic Voronoi Diagram”, Proceedings of International Conference on Artificial Intelligence, Las Vegas NV. May 2005.

Other Representative Publications

  1. Y. D. Song and J. N. Anderson. The Dynamic Effects and Compensation of Load Transitions in Robotic Systems. Journal of Robotic Systems, Vol. 11, No. 5, 1994, pp. 425-440.
  2. Y. D. Song and J. N. Anderson. Adaptive Control of Robot Manipulator with Unknown Payload Dynamics. Systems and Control Letters, 1991, Vol. 17, 1991, pp. 59 70.
  3. Y. D. Song, R. H. Middletown and J. N. Anderson. Study on the Exponential Path Tracking Control of Robot Manipulators via Direct Adaptive Methods. Robotics and Autonomous Systems, Vol. 9, 1992, pp. 271 282.
  4. Y. D. Song. Partial State Feedback Control with Application to Aircraft Wing Vibration Suppression. Journal of Sound and Vibration, Vol. 188, No. 3, 1995.
  5. Y. D. Song and X. H. Deng. Memory-based Method for Wind Speed Prediction. American Power Conference, April, 1998.
  6. C. Nguyen and Y. D. Song. Latest Developments in Neuro-Fuzzy Intelligent Robotic Systems. Journal of Robotic Systems, Vol. 14, No. 6, 1997.
  7. Y. D. Song. Adaptive Motion Tracking Control of Robot Manipulators: --- Non-regressor Based Approach. International Journal of Control, Vol. 63, No. 1, 1996.
  8. Y. D. Song and T. Mitchell. Active Damping Control of Vibrational Systems. IEEE Trans. On Aerospace and Electronic Systems, Vol. 32, No. 2, 1996, pp. 569-577.
  9. Y. D. Song, J. N. Anderson and Y. Lai. Robust Control of Multi Robotic Systems: The Generalized Energy Accumulation Approach. International Journal of Robust and Nonlinear Control, Vol. 4, 1994.
  10. Y. D. Song and R. H. Middleton. Dealing with Time-varying Parameter Problem of Robot Manipulators Performing Path Tracking Tasks. IEEE Trans. on Automatic Control, Vol. 37, No. 10, 1992.
     
  David Song is a tenured professor at North Carolina A&T State University. He also holds the position of Langley Distinguished Professor at National Institute of Aerospace.
Dr. Song is a registered professional engineer. As the founding Director of the Center for Cooperative Systems, Dr. Song is leading a research team actively involved in autonomous/cooperative operation of mobile vehicles. Two projects directly related to the MAST have been funded by ARO and NSF. The neuro-memory-based control schemes developed by his group has been successfully applied multiple micro mobile vehicles operating in cooperative manners for path tracking, obstacle avoidance and formation.
 
  For more information:
    http://abner.ncat.edu/cooperativeresearchcenter/index.html
 
         
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