Research Scope and Experiences

Stochastic Aggregation Methods (PhD):

• In progress

Posters and Presentations (PhD):

• Vancouver MITACS:
• UofT
• UBC:
• CUHK:
• Purdue

Wireless and Stochastic Systems:

• M.Y. Huang, R.P. Malhame, and P.E. Caines. On a class of stochastic partially linear quadratic regulation problems. Working paper.
  
  
• M.Y. Huang, P.E. Caines, and R.P. Malhame. Individual and mass behaviour in large population stochastic wireless power control problems: centralized and Nash equilibrium solutions. To be presented in the invited session "wireless communications: adaptation, estimation and control" at the 42nd IEEE Conference on Decision and Control, Hawaii, December, 2003.
  
  
• M.Y. Huang, R.P. Malhame, and Peter E. Caines. Stochastic power control in wireless communication systems: analysis, approximate control algorithms and state aggregation. To be presented at the 42nd IEEE Conference on Decision and Control, Hawaii, December, 2003.
  
  
• M.Y. Huang, R.P. Malhame, and Peter E. Caines. Computationally tractable stochastic power control laws in wireless communications. Under Revision for IEEE Trans. Automatic Control.
  
  
• M.Y. Huang, P.E. Caines, and R.P. Malhame. Degenerate stochastic control problems with exponential costs and weakly coupled dynamics: viscosity solutions and a maximum principle. Under Revision for SIAM J. Contr. Optim.
  
  
• M.Y. Huang, P.E. Caines, and R.P. Malhame. Uplink power adjustment in wireless communication systems: a stochastic control analysis. Under Revision for IEEE Trans. on Automatic Control.
  
  
• M.Y. Huang, R.P. Malhame, and P.E. Caines. Stochastic power control in wireless communication systems with an infinite horizon discounted cost. Proceedings of the American Control Conference, Denver, Corolado, June, 2003, pp.962-968..
  
  
• M.Y. Huang, P.E. Caines, and R.P. Malhame. Stochastic power control for wireless systems: centralized dynamic solutions and aspects of decentralized control. Proceedings of the 15th IFAC World Congress on Automatic Control, Barcelona, Spain, July, 2002.
  
  
• M.Y. Huang, R.P. Malhame, and P.E. Caines. Quality of service control for wireless systems: minimum power and minimum energy solutions. Proceedings of the American Control Conference, Anchorage, Alaska, May, 2002, pp.2424-2429.
  
  
• M.Y. Huang, P.E. Caines, C.D. Charalambous, and R.P. Malhame. Stochastic power control for wireless systems: classical and viscosity solutions. Proceedings of 40th IEEE Conference on Decision and Control, Orlando, Florida, Dec. 2001, pp.1037-1042.
  
  
• M.Y. Huang, P.E. Caines, and R.P. Malhame. On a class of singular stochastic control problems arising in communications and their viscosity solutions. Proceedings of 40th IEEE Conference on Decision and Control, Orlando, Florida, Dec. 2001, pp.1031-1036.
  
  
• M.Y. Huang, P.E. Caines, C.D. Charalambous, and R.P. Malhame. Power control in wireless systems: a stochastic optimal control formulation. Proceedings of the American Control Conference, Arlington, Virginia, June, 2001, pp.750-755.
  
  
• M.Y. Huang, P.E. Caines, C.D. Charalambous, and R.P. Malhame. Stochastic optimal control formulations of wireless power control problems. Optimization Days 2000, Montreal, Abstract Volume pp.64, May, 2000.
  
  
• M.Y. Huang and L. Guo. Adaptive LQ control of discrete-time systems with jump Markovian parameters, Proceedings of the Chinese Control Conference, Ningbo, August, 1998.
  
  
• M.Y. Huang and L. Guo. Stabilization of stochastic systems with hidden Markovian Jumps, Science in China (Series F), Vol.44, April, 2001, pp.104-118.
  
  
• F. Xue, L. Guo, and M.Y. Huang. Towards understanding the capability of adaptation for time-varying systems. IFAC J. Automatica, Vol. 37, 2001, pp.1551-1560.

Last modified July 24, 2001.