Zhong-Ping Jiang

Zhong-Ping Jiang

New York University

H-index: 90

North America-United States

About Zhong-Ping Jiang

Zhong-Ping Jiang, With an exceptional h-index of 90 and a recent h-index of 57 (since 2020), a distinguished researcher at New York University, specializes in the field of Dynamical networks, Nonlinear control, Learning-based control, Adaptive dynamic programming, Reinforcement learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Small-disturbance input-to-state stability of perturbed gradient flows: Applications to LQR problem

Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods

New Results in Cooperative Adaptive Optimal Output Regulation

Finite-Time Stabilization of Nonlinear Uncertain MIMO Systems

Exploring a COVID‐19 Endemic Scenario: High‐Resolution Agent‐Based Modeling of Multiple Variants (Adv. Theory Simul. 1/2023)

A Lyapunov-Based Small-Gain Theorem for Interconnected Finite-Time Input-to-State Stable Systems

Real-Time Hybrid Modeling of Francis Hydroturbine Dynamics via a Neural Controlled Differential Equation Approach

Automated Lane Change and Robust Safety

Zhong-Ping Jiang Information

University

Position

Professor of Electrical and Computer Engineering Tandon School of Engineering

Citations(all)

34549

Citations(since 2020)

13741

Cited By

26471

hIndex(all)

90

hIndex(since 2020)

57

i10Index(all)

322

i10Index(since 2020)

212

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Zhong-Ping Jiang Skills & Research Interests

Dynamical networks

Nonlinear control

Learning-based control

Adaptive dynamic programming

Reinforcement learning

Top articles of Zhong-Ping Jiang

Title

Journal

Author(s)

Publication Date

Small-disturbance input-to-state stability of perturbed gradient flows: Applications to LQR problem

arXiv preprint arXiv:2310.02930

Leilei Cui

Zhong-Ping Jiang

Eduardo D Sontag

2023/10/4

Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods

IEEE Transactions on Neural Networks and Learning Systems

Weinan Gao

Na Li

Kyriakos G Vamvoudakis

Fei Richard Yu

Zhong-Ping Jiang

2024/2/29

New Results in Cooperative Adaptive Optimal Output Regulation

Journal of Systems Science and Complexity

Yuchen Dong

Weinan Gao

Zhong-Ping Jiang

2024/2

Finite-Time Stabilization of Nonlinear Uncertain MIMO Systems

SIAM Journal on Control and Optimization

Zhi-Liang Zhao

Ruonan Yuan

Bao-Zhu Guo

Zhong-ping Jiang

2023/8/31

Exploring a COVID‐19 Endemic Scenario: High‐Resolution Agent‐Based Modeling of Multiple Variants (Adv. Theory Simul. 1/2023)

Advanced Theory & Simulations

Agnieszka Truszkowska

Lorenzo Zino

Sachit Butail

Emanuele Caroppo

Zhong‐Ping Jiang

...

2023

A Lyapunov-Based Small-Gain Theorem for Interconnected Finite-Time Input-to-State Stable Systems

IFAC-PapersOnLine

Huanhuan Li

Tengfei Liu

Zhong-Ping Jiang

2023/1/1

Real-Time Hybrid Modeling of Francis Hydroturbine Dynamics via a Neural Controlled Differential Equation Approach

IEEE Access

Hong Wang

Zhun Yin

Zhong-Ping Jiang

2023/12/7

Automated Lane Change and Robust Safety

Zhong-Ping Jiang

Kaan Ozbay

Sayantan Chakraborty

Leilei Cui

2023/3/1

Learning-based adaptive optimal control of linear time-delay systems: A policy iteration approach

IEEE Transactions on Automatic Control

Leilei Cui

Bo Pang

Zhong-Ping Jiang

2023/5/8

A Lyapunov characterization of robust policy optimization

Control Theory and Technology

Leilei Cui

Zhong-Ping Jiang

2023/8

Learning-Based Adaptive Optimal Output Regulation of Discrete-Time Linear Systems

IFAC-PapersOnLine

Sayan Chakraborty

Weinan Gao

Leilei Cui

Frank L Lewis

Zhong-Ping Jiang

2023/1/1

Robust Saturated Stabilization With Measurement Errors: From a Chain of Integrators to Feedforward Systems

IEEE Transactions on Automatic Control

Mengxi Wang

Tengfei Liu

Zhong-Ping Jiang

2023/11/1

Quadratic programming for continuous control of safety-critical multi-agent systems under uncertainty

IEEE Transactions on Automatic Control

Si Wu

Tengfei Liu

Magnus Egerstedt

Zhong-Ping Jiang

2023/2/13

Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems

Tong Liu

Michelangelo Bin

Ivano Notarnicola

Thomas Parisini

Zhong-Ping Jiang

2023/12/13

Learning Adaptive Optimal Controllers for Linear Time-Delay Systems *

Leilei Cui

Bo Pang

Zhong-Ping Jiang

2023/5/31

Optimization of Cube Storage Warehouse Scheduling Using Genetic Algorithms

Won Yong Ha

Zhong-Ping Jiang

2023/8/26

Data-Driven Actuator Allocation for Actuator Redundant Systems

IEEE Transactions on Automatic Control

Filippos Fotiadis

Kyriakos G Vamvoudakis

Zhong-Ping Jiang

2023/10/31

Learning-Based Control of Continuous-Time Systems Using Output Feedback*

Leilei Cui

Zhong-Ping Jiang

2023

Recent developments in event-triggered control of nonlinear systems: An overview

Pengpeng Zhang

Tengfei Liu

Jie Chen

Zhong-Ping Jiang

2023/1/10

Reducing urban traffic congestion using deep learning and model predictive control

IEEE transactions on neural networks and learning systems

Zhun Yin

Tong Liu

Chieh Wang

Hong Wang

Zhong-Ping Jiang

2023/4/13

See List of Professors in Zhong-Ping Jiang University(New York University)

Co-Authors

H-index: 97
Romeo Ortega

Romeo Ortega

Instituto Tecnológico Autonómo de México

H-index: 94
Andrew R. Teel

Andrew R. Teel

University of California, Santa Barbara

H-index: 87
Henk Nijmeijer

Henk Nijmeijer

Technische Universiteit Eindhoven

H-index: 59
Robert Mahony

Robert Mahony

Australian National University

H-index: 53
Shivendra S  Panwar

Shivendra S Panwar

New York University

H-index: 36
Yuan Wang (王沅)

Yuan Wang (王沅)

Florida Atlantic University

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