Zhong-Ping   Jiang

Zhong-Ping Jiang


Department of Electrical and Computer Engineering


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.

Prof. Jiang is a Deputy co-Editor-in-Chief of the Journal of Control and Decision, an Editor for the International Journal of Robust and Nonlinear Control and has served as an Associate Editor and/or a Guest Editor for several journals including Mathematics of Control, Signals and Systems (MCSS), Systems & Control Letters, IEEE Transactions on Automatic Control, European Journal of Control, and Science China: Information Sciences.

Journal Articles

Selected Recent Papers

  • W. Gao, Z. P. Jiang and K. Ozbay, Data-driven adaptive optimal control of connected vehicles, IEEE Transactions on Intelligent Transportation Systems, 2016, in press.
  • W. Gao and Z. P. Jiang, Nonlinear and adaptive optimal control of connected vehicles: a global adaptive dynamic programming approach, Journal of Intelligent & Robotic Systems, DOI 10.1007/s10846-016-0395-3, June 2016.
  • T. Bian and Z. P. Jiang, Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design, Automatica, vol. 71, pp. 348–-360, Sept. 2016.
  • 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. Bian, Y. Jiang and Z. P. Jiang, Decentralized adaptive optimal control of large-scale systems with application to power systems, IEEE Trans. on Industrial Electronics, Vol. 62, pp. 2439-2447, April 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


New York University


From: September 2007 to present

Polytechnic University

Associate Professor

From: September 2002 to August 2007

Polytechnic University

Assistant Professor

From: January 1999 to August 2002

Sydney University

Research Fellow

Working with Professor David Hill.

From: April 1996 to May 1998

The Australian National University

Research Fellow

Working with Prof. Iven Mareels

From: April 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: September 1993 to April 1994

Authored + Edited Books

  • Stability and Stabilization of Nonlinear Systems. London: Springer-Verlag, June 2011. (with I. Karafyllis)
  • Nonlinear Control of Dynamic Networks. CRC Press, Taylor & Francis, April 2014. (with T. Liu and D. J. Hill)
  • Robust Adaptive Dynamic Programming. IEEE-Wiley, 2017, to appear. (with Y. Jiang)
  • Nonlinear Control Under Information Constraints. Science Press, Beijing, China, 2017, to appear. (with T. Liu)

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 (2009).
  • 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

    My Control and Networks (CAN) Lab.mainly focuses on interdisciplinary 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