photo of Prof Jiang at ECE

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

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

Research Interests
Model-based and learning-based control for network systems with applications to robotics, connected and autonomous vehicles, and computational neuroscience

Ecole des Mines de Paris (ParisTech-Mines), 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: May 1996 to May 1998

The Australian National University
Research Fellow
Working with Prof. Iven Mareels
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

Journal Articles

Selected Recent Papers

  • L. Cui, T. Basar and Z. P. Jiang, Robust reinforcement learning for risk-sensitive linear quadratic Gaussian control, Accepted by IEEE Transactions on Automatic Control, 2024.
  • L. Cui, Z. P. Jiang and E. D. Sontag, Small-disturbance input-to-state stability of perturbed gradient flows: Applications to LQR problem, Accepted by Systems and Control Letters, April 2024.
  • L. Cui, B. Pang and Z. P. Jiang, Learning-based adaptive optimal control of linear time-delay systems: A policy iteration approach, IEEE Trans. Automatic Control,  Vol. 69, No. 1, pp.  629 - 636, Jan. 2024. DOI: 10.1109/TAC.2023.3273786
  • S. Wu, T. Liu, M. Egerstedt and Z. P. Jiang, Quadratic programming for continuous control of safety-critical multi-agent systems under uncertainty, IEEE Transactions on Automatic Control, Vol. 68, No. 11, pp. 6664 - 6679, Nov. 2023.
  • P. Zhang, T. Liu and Z. P. Jiang, Tracking control of unicycle mobile robots with event-triggered and self-triggered feedback, IEEE Transactions on Automatic Control, vol. 68, no. 4, pp.2261 - 2276, April 2023.
  • T. Bian and Z. P. Jiang, Reinforcement learning and adaptive optimal control for continuous-time nonlinear systems: A value iteration approach, IEEE Trans. Neural Networks and Learning Systems, Vol. 33, No. 7, pp. 2781 - 2790, 2022.
  • T. Liu, Z. Qin, Y. Hong, and Z. P. Jiang, Distributed optimization of nonlinear multi-agent systems: A small-gain approach, IEEE Transactions on Automatic Control, vol. 67, no. 2, pp. 676-691, Feb. 2022.
  • B. Pang and Z. P. Jiang, Robust reinforcement learning: A case study in linear quadratic regulation, Proc. 35th AAAI Conference on Artificial Intelligence, vol. 35, no. 10, pp. 9303–9311, 2021.
  • P. Zhang, T. Liu and Z. P. Jiang, Systematic design of robust event-triggered state and output feedback controllers for uncertain nonholonomic systems, IEEE Transactions on Automatic Control, Vol. 66, No. 1, pp. 213-228, Jan. 2021.
  • Z. P. Jiang, T. Bian and W. Gao, Learning-based control: A tutorial and some recent results, Foundations and Trends in Systems and Control, Vol. 8, No. 3, pp 176–284, 2020. (Invited Paper)
  • T. Bian, D. Wolpert and Z. P. Jiang, Model-free robust optimal feedback mechanisms of biological motor control, Neural Computation, 32:562-595, Mar. 2020.
  • T. Bian and Z. P. Jiang, Continuous-time robust dynamic programming, SIAM J. Control and Optimization, 57 (6), pp. 4150--4174, Dec. 2019.
  • W. Gao, J. Gao, K. Ozbay and Z. P. Jiang, Reinforcement-learning-based cooperative adaptive cruise control of buses in the Lincoln Tunnel corridor with time-varying topology, IEEE Transactions on Intelligent Transportation Systems, Vol. 20, No. 10, pp. 3796-3805, Oct. 2019.
  • Z. P. Jiang and T. Liu, Small-gain theory for stability and control of dynamical networks: A survey, Annual Reviews in Control, Vol. 46, pp. 58-79, Oct. 2018. (Invited Paper)
  • W. Gao, Z. P. Jiang and K. Ozbay, Data-driven adaptive optimal control of connected vehicles, IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 5, pp. 1122-1133, 2017.
  • W. Gao and Z. P. Jiang, Nonlinear and adaptive suboptimal control of connected vehicles: a global adaptive dynamic programming approach, Journal of Intelligent & Robotic Systems, Vol. 85, pp. 597-611, 2017.
  • 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


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. Wiley-IEEE Press, 2017. (with Y. Jiang)
  • Nonlinear Control Under Information Constraints. Science Press, Beijing, China, 2018. (with T. Liu)
  • Robust Event-Triggered Control of Nonlinear Systems. Springer Nature, June 2020. (with T. Liu and P. Zhang)
  • Learning-Based Control. Now Publishers, December 2020.
    ISBN: 978-1-68083-752-0 (with T. Bian and W. Gao)
  • Trends in Nonlinear and Adaptive Control - A tribute to Laurent Praly for his 65th birthday. Springer, London, 2021. (Edited Book with C. Prieur and A. Astolfi)

  • CAN Lab: My Control and Networks (CAN) Lab.mainly focuses on interdisciplinary problems at the interface of AI/machine learning and control (under nonlinear, computing and communications constraints) as well as on optimal feedback mechanisms in movement science.

  • Affiliate Professor, Department of Civil and Urban Engineering, NYU Tandon

  • Affiliated member of the Center for Advanced Technology in Telecommunications (CATT)

  • Affiliated member of the Connected Cites for Smart Transportation (C2SMART) Center

  • 2024 Institute Professor, NYU Tandon School of Engineering
  • 2023 Fellow of the American Association for the Advancement of Science
  • 2023 Elected to European Academy of Sciences and Arts
  • 2023 Stanford's List of World's Top 2% Scientists
  • 2022 Excellence in Research Award from NYU Tandon School of Engineering
  • 2022 Fellow of the Asia-Pacific Artificial Intelligence Association
  • 2021 Elected Foreign Member of the Academia Europaea (Academy of Europe)
  • 2020 "Control Theory and Technology" Best Paper Award
  • 2020 IEEE Beijing Chapter Young Author Prize (with Z. Li as the lead author)
  • 2018 Clarivate Analytics Highly Cited Researcher
  • 2018 Best Paper Award on Control at the IEEE International Conference on Real-Time Computing and Robotics, Kandima, Maldives
  • 2017 Best Paper Award at the Asian Control Conference, Gold Coast, Australia
  • 2017 Fellow of the Chinese Association of Automation
  • 2016 Steve and Rosalind Hsia Biomedical Paper Award at the World Congress on Intelligent Control and Automation
  • 2015 Best Conference Paper Award at the IEEE Conference on Information and Automation, Lijiang, China
  • 2013 Fellow of the International Federation of Automatic Control
  • 2013 Shimemura Young Author Prize (with Yu Jiang as the lead author) at the Asian Control Conference, Istanbul, Turkey
  • 2011 Guan Zhao-Zhi Best Paper Award at the Chinese Control Conference
  • 2008 Fellow of the Institute of Electrical and Electronics Engineers
  • 2008 Best Theoretic Paper Award at the World Congress on Intelligent Control and Automation
  • 2009 Changjiang Chair Professorship at Beijing University
  • 2007 Distinguished Overseas Chinese Scholar Award from the NNSF of China
  • 2005 JSPS Invitation Fellowship from the Japan Society for the Promotion of Science
  • 2001 CAREER Award from the US National Science Foundation
  • 1998 Queen Elizabeth II Research Fellowship Award from the Australian Research Council

Research Briefs

Jul 9, 2021

Jun 23, 2021

Jan 18, 2021

Research Centers, Labs, and Groups