Zhong-Ping   Jiang

Zhong-Ping Jiang


5 MetroTech Center, 2nd Floor


Prof. Jiang is known for his contributions to stability and control of interconnected nonlinear systems, and is a key contributor to the nonlinear small-gain theory. His recent research focuses on robust adaptive dynamic programming, distributed nonlinear control, and their applications to computational and systems neuroscience, connected vehicles, and cyber-physical systems.

Journal Articles

  •  Y. Jiang and Z. P. Jiang, Global adaptive dynamic programming for continuous-time nonlinear systems, IEEE Trans. Automatic Control, Vol. 60, No. 11, pp. 2917-2929, Nov. 2015.
  • T. Liu and Z. P. Jiang, A small-gain approach to robust event-triggered control of nonlinear systems, IEEE Trans. on Automatic Control, Vol. 60, No. 8, pp. 2072-2085, Aug. 2015.
  • Y. Jiang and Z. P. Jiang, Adaptive dynamic programming as a theory of sensorimotor control, Biological Cybernetics, Vol. 108, pp. 459-473, 2014.
  • Z. P. Jiang and T. Liu, Quantized nonlinear control - a survey, Special Issue in Celebration of the 50th Birthday of Acta Automatica Sinica, Acta Automatica Sinica, 39(11): 1820-1830, Nov. 2013. (Invited Paper)
  • Z. P. Jiang and Y. Jiang, Robust adaptive dynamic programming for linear and nonlinear systems: An overview, European J. Control, Vol. 19, No. 5, pp. 417-425, 2013.
  • T. Liu and Z. P. Jiang, Distributed formation control of nonholonomic mobile robots without global position measurements, Automatica, Vol. 49, pp. 592-600, 2013


Ecole des Mines de Paris, France, 1993

Doctor of Philosophy, Automatic Control and Mathematics

University of Paris XI, 1989

Master of Science, Statistics

University of Wuhan, 1988

Bachelor of Science, Mathematics


Sydney University

Research Fellow

In joint collaboration with Professor David Hill, I continued to work on the development of advanced applied nonlinear control theory driven by the need to solve challenging engineering problems arising from electrical power systems, underactuated mechanical systems, and chemical networks.

From: May 1996 to May 1998

The Australian National University

Research Fellow

Working with Prof. Iven Mareels on advanced nonlinear control theory with applications in underactuated mechanical systems such as mobile robots and cars with trailers.

From: May 1994 to April 1996

INRIA, Sophia-Antipolis

Postdoctoral Fellow

The main responsibility was to solve a long-standing open problem related to the attitude control of a spacecraft with only two control inputs, and to develop novel tools and methods for underactuated mechanical systems.

From: October 1993 to April 1994

Authored + Edited Books

  • I. Karafyllis and Z. P. Jiang, Stability and Stabilization of Nonlinear Systems. London: Springer-Verlag, June 2011.
  • T. Liu, Z. P. Jiang and D. J. Hill, Nonlinear Control of Dynamic Networks. CRC Press, Taylor & Francis, April 2014.

Awards + Distinctions

  • Fellow of the IFAC (2013)
  • Fellow of the IEEE (2008)
  • Steve and Rosalind Hsia Biomedical Paper Award at 2016 WCICA.
  • Best Conference Paper Award at 2015 IEEE Conf. on Information and Automation, Lijiang, China.
  • Shimemura Young Author Prize (with my student Yu Jiang as the lead author) at the 2013 Asian Control Conf. in Istanbul, Turkey.
  •  Guan Zhao-Zhi Best Paper Award at the 2011 Chinese Control Conference.
  • Best Theoretic Paper Award at the 2008 World Congress on Intelligent Control and Automation, Chongqin.
  • Changjiang Chair Professorship at Beijing University (2008).
  • Distinguished Overseas Chinese Scholar Award from the NSF of China (2007)
  • JSPS Invitation Fellowship from the Japan Society for the Promotion of Science (2005)
  • NSF CAREER Award from the National Science Foundation (2001). 
  • Queen Elizabeth II Research Fellowship Award from the Australian Research Council (1998).

Research Interests

  • Basic stability problems for interconnected systems
  • Nonlinear control theory and applications
  • Robust adaptive dynamic programming
  • Control of underactuated mechanical systems - for example, mobile robots, ships,underwater systems
  • Energy and power systems
  • Tools for cyber-physical systems
  • Systems neuroscience





    General / Collaborative Research

    The main research focus is on the interdiscipliabry problems at the interface of control, computing and communications as well as on optimal feedback mechanisms in movement science.


    Biologically-Inspired Robust Adaptive Dynamic Programming for Continuous-Time Stochastic Systems, (PI)

    National Science Foundation, 3 years