Tengfei Liu

The rapid development of computing, communications and sensing technologies have been enabling new potential applications of advanced control to networked systems like smart power grids, biological processes, distributed computing networks, transportation systems and robotic networks. Significant problems are to integrally deal with the fundamental system characteristics such as nonlinearity, dimensionality, uncertainty and information constraints, and diverse kinds of networked behaviors, which may arise from quantization, data-sampling and impulsive events. Physical systems are inherently nonlinear in nature. This presentation introduces new cyclic-small-gain tools to address the control problems of networked nonlinear systems. Specific topics including robust control under sensor noise, quantized nonlinear control, distributed nonlinear control and their applications to multi-vehicle systems and wind turbines will be discussed.

Biography: Tengfei Liu received the B.E. degree in Automation and the M.E. degree in Control Theory and Control Engineering from South China University of Technology, in 2005 and 2007, respectively. He received the Ph.D. degree in Engineering from the Australian National University in 2011. Tengfei Liu is a visiting assistant professor at Polytechnic Institute of New York University. His research interests include adaptive and learning control, stability theory, robust nonlinear control, quantized control, distributed control and their applications in mechanical systems, power systems and transportation systems. He has over 30 publications including 15 journal papers. Dr. Liu, with Z. Jiang and D. J. Hill, received the "Guan Zhao-Zhi" Best Paper Award at the 2011 Chinese Control Conference.