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ORCIDZhong-Ping Jiang
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- affiliation: New York University Tandon School of Engineering, New York City, USA
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2020 – today
- 2025
[j233]Leilei Cui, Bo Pang, Miroslav Krstic, Zhong-Ping Jiang:
Learning-based adaptive optimal control of linear time-delay systems: A value iteration approach. Autom. 171: 111944 (2025)- 2024
- [j232]Sayan Chakraborty, Weinan Gao, Kyriakos G. Vamvoudakis, Zhong-Ping Jiang:
Active Learning-Based Control for Resiliency of Uncertain Systems Under DoS Attacks. IEEE Control. Syst. Lett. 8: 3297-3302 (2024) - [j231]Yuchen Dong, Weinan Gao, Zhong-Ping Jiang:
New Results in Cooperative Adaptive Optimal Output Regulation. J. Syst. Sci. Complex. 37(1): 253-272 (2024) - [j230]Leilei Cui
, Zhong-Ping Jiang, Eduardo D. Sontag:
Small-disturbance input-to-state stability of perturbed gradient flows: Applications to LQR problem. Syst. Control. Lett. 188: 105804 (2024) - [j229]Leilei Cui, Bo Pang, Zhong-Ping Jiang:
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach. IEEE Trans. Autom. Control. 69(1): 629-636 (2024) - [j228]Huanhuan Li, Tengfei Liu, Zhong-Ping Jiang:
A Lyapunov-Based Small-Gain Theorem for a Network of Finite-Time Input-to-State Stable Systems. IEEE Trans. Autom. Control. 69(2): 1052-1059 (2024) - [j227]Mengxi Wang, Tengfei Liu, Zhong-Ping Jiang:
Robust Saturated Stabilization With Measurement Errors: From a Chain of Integrators to Feedforward Systems. IEEE Trans. Autom. Control. 69(3): 1627-1642 (2024) - [j226]Filippos Fotiadis, Kyriakos G. Vamvoudakis, Zhong-Ping Jiang:
Data-Driven Actuator Allocation for Actuator Redundant Systems. IEEE Trans. Autom. Control. 69(4): 2249-2264 (2024) - [j225]Zhengyan Qin, Tengfei Liu, Tao Liu, Zhong-Ping Jiang, Tianyou Chai:
Distributed Feedback Optimization of Nonlinear Uncertain Systems Subject to Inequality Constraints. IEEE Trans. Autom. Control. 69(6): 3989-3996 (2024) - [j224]Leilei Cui, Tamer Basar, Zhong-Ping Jiang:
Robust Reinforcement Learning for Risk-Sensitive Linear Quadratic Gaussian Control. IEEE Trans. Autom. Control. 69(11): 7678-7693 (2024) - [j223]Yutian Wang, Tengfei Liu, Hyungbo Shim, George A. Rovithakis, Zhong-Ping Jiang:
A Lyapunov Characterization of Prescribed Performance Control Systems. IEEE Trans. Autom. Control. 69(11): 7917-7924 (2024) - [j222]Mathieu Granzotto, Olivier Lindamulage De Silva, Romain Postoyan, Dragan Nesic, Zhong-Ping Jiang:
Robust Stability and Near-Optimality for Policy Iteration: For Want of Recursive Feasibility, All is Not Lost. IEEE Trans. Autom. Control. 69(12): 8247-8262 (2024) - [j221]Weinan Gao, Na Li, Kyriakos G. Vamvoudakis, Fei Richard Yu, Zhong-Ping Jiang:
Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3103-3106 (2024) - [j220]Zhun Yin, Tong Liu, Chieh Wang, Hong Wang, Zhong-Ping Jiang:
Reducing Urban Traffic Congestion Using Deep Learning and Model Predictive Control. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12760-12771 (2024) - [c152]Sayan Chakraborty, Yu Jiang, Zhong-Ping Jiang:
On XYZ-Motion Planning Using a Full Car Model. ACC 2024: 245-250 - [c151]Zhengyan Qin, Tao Liu, Tengfei Liu, Zhong-Ping Jiang:
Distributed Feedback Optimization of Networked Nonlinear Systems Using Relative Output Measurements. ECC 2024: 285-290 - [c150]Jiho Park, Tong Liu, Chieh Wang, Hong Wang, Qichao Wang, Zhong-Ping Jiang:
Traffic Signal Control for Large-Scale Urban Traffic Networks: Real-World Experiments using Vision-based Sensors. ICCA 2024: 282-287 - [c149]Zhun Yin, Hong Wang, Zhong-Ping Jiang:
Parameter Estimation of Synchronous Generator Using Neural Controlled Differential Equations. ICCA 2024: 332-339 - [i21]Tengfei Liu, Zhong-Ping Jiang:
Singular Perturbation: When the Perturbation Parameter Becomes a State-Dependent Function. CoRR abs/2406.00753 (2024) - [i20]Si Wu, Tengfei Liu, Zhong-Ping Jiang:
Constructive Safety Control. CoRR abs/2406.01058 (2024) - [i19]Zhi Liu, Si Wu, Tengfei Liu, Zhong-Ping Jiang:
Safety-Critical Control of Euler-Lagrange Systems Subject to Multiple Obstacles and Velocity Constraints. CoRR abs/2406.01153 (2024) - [i18]Sayan Chakraborty, Weinan Gao, Kyriakos G. Vamvoudakis, Zhong-Ping Jiang:
Resilient Learning-Based Control Under Denial-of-Service Attacks. CoRR abs/2409.07766 (2024) - [i17]Weinan Gao, Zhong-Ping Jiang, Tianyou Chai:
Resilient control under denial-of-service and uncertainty: An adaptive dynamic programming approach. CoRR abs/2411.06689 (2024) - 2023
- [j219]Hong Wang, Zhun Yin, Zhong-Ping Jiang:
Real-Time Hybrid Modeling of Francis Hydroturbine Dynamics via a Neural Controlled Differential Equation Approach. IEEE Access 11: 139133-139146 (2023) - [j218]Weinan Gao, Zhong-Ping Jiang:
Data-driven cooperative output regulation of multi-agent systems under distributed denial of service attacks. Sci. China Inf. Sci. 66(9) (2023) - [j217]Zhi-Liang Zhao, Ruonan Yuan, Bao-Zhu Guo, Zhong-Ping Jiang:
Finite-Time Stabilization of Nonlinear Uncertain MIMO Systems. SIAM J. Control. Optim. 61(4): 2305-2333 (2023) - [j216]Pengpeng Zhang, Tengfei Liu, Zhong-Ping Jiang:
Tracking Control of Unicycle Mobile Robots With Event-Triggered and Self-Triggered Feedback. IEEE Trans. Autom. Control. 68(4): 2261-2276 (2023) - [j215]Bo Pang, Zhong-Ping Jiang:
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems. IEEE Trans. Autom. Control. 68(4): 2383-2390 (2023) - [j214]Si Wu, Tengfei Liu, Magnus Egerstedt, Zhong-Ping Jiang:
Quadratic Programming for Continuous Control of Safety-Critical Multiagent Systems Under Uncertainty. IEEE Trans. Autom. Control. 68(11): 6664-6679 (2023) - [j213]Fuyu Zhao, Weinan Gao, Tengfei Liu, Zhong-Ping Jiang:
Event-Triggered Robust Adaptive Dynamic Programming With Output Feedback for Large-Scale Systems. IEEE Trans. Control. Netw. Syst. 10(1): 63-74 (2023) - [j212]Zhongmei Li, Mengzhe Huang, Jianyong Zhu, Weihua Gui, Zhong-Ping Jiang, Wenli Du:
Learning-Based Adaptive Optimal Control for Flotation Processes Subject to Input Constraints. IEEE Trans. Control. Syst. Technol. 31(1): 252-264 (2023) - [j211]Tong Liu, Leilei Cui, Bo Pang, Zhong-Ping Jiang:
A Unified Framework for Data-Driven Optimal Control of Connected Vehicles in Mixed Traffic. IEEE Trans. Intell. Veh. 8(8): 4131-4145 (2023) - [j210]Pengpeng Zhang, Tengfei Liu, Jie Chen, Zhong-Ping Jiang:
Recent Developments in Event-Triggered Control of Nonlinear Systems: An Overview. Unmanned Syst. 11(1): 27-56 (2023) - [c148]Leilei Cui, Bo Pang, Zhong-Ping Jiang:
Learning Adaptive Optimal Controllers for Linear Time-Delay Systems *. ACC 2023: 4575-4580 - [c147]Won Yong Ha, Zhong-Ping Jiang:
Optimization of Cube Storage Warehouse Scheduling Using Genetic Algorithms. CASE 2023: 1-6 - [c146]Tong Liu, Michelangelo Bin, Ivano Notarnicola, Thomas Parisini, Zhong-Ping Jiang:
Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems. CDC 2023: 7439-7444 - [c145]Leilei Cui, Bo Pang, Zhong-Ping Jiang:
Reinforcement-Learning-Based Risk-Sensitive Optimal Feedback Mechanisms of Biological Motor Control. CDC 2023: 7944-7949 - [c144]Sayan Chakraborty, Weinan Gao, Kyriakos G. Vamvoudakis, Zhong-Ping Jiang:
Adaptive Optimal Output Regulation of Discrete-Time Linear Systems: A Reinforcement Learning Approach. CDC 2023: 7950-7955 - [c143]Won Yong Ha, Sayan Chakraborty, Yujie Yu, Samin Ghasemi, Zhong-Ping Jiang:
Automated Lane Changing Through Learning-Based Control: An Experimental Study. ITSC 2023: 4215-4220 - [c142]Leilei Cui, Tamer Basar, Zhong-Ping Jiang:
A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control. L4DC 2023: 534-546 - [i16]Leilei Cui, Zhong-Ping Jiang, Eduardo D. Sontag:
Small-Disturbance Input-to-State Stability of Perturbed Gradient Flows: Applications to LQR Problem. CoRR abs/2310.02930 (2023) - 2022
- [j209]Daniel Alberto Burbano Lombana, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri:
Activity-driven network modeling and control of the spread of two concurrent epidemic strains. Appl. Netw. Sci. 7(1): 66 (2022) - [j208]Yutian Wang, Tengfei Liu, Zhong-Ping Jiang:
Systematic design of supervisory controllers for a class of uncertain nonlinearly parameterized systems. Autom. 135: 109991 (2022) - [j207]Tengfei Liu, Zhengyan Qin, Zhong-Ping Jiang:
A new look at distributed optimal output agreement of multi-agent systems. Autom. 136: 110053 (2022) - [j206]Zihao Xu, Tengfei Liu, Zhong-Ping Jiang:
Nonlinear integral control with event-triggered feedback: Unknown decay rates, zeno-freeness, and asymptotic convergence. Autom. 137: 110028 (2022) - [j205]Fuyu Zhao, Weinan Gao, Tengfei Liu, Zhong-Ping Jiang:
Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback. Autom. 137: 110103 (2022) - [j204]Zhengyan Qin, Liangze Jiang, Tengfei Liu, Zhong-Ping Jiang:
Distributed optimization for uncertain Euler-Lagrange Systems with local and relative measurements. Autom. 139: 110113 (2022) - [j203]Zhengyan Qin, Tengfei Liu, Zhong-Ping Jiang:
Adaptive backstepping for distributed optimization. Autom. 141: 110304 (2022) - [j202]Weinan Gao, Chao Deng, Yi Jiang, Zhong-Ping Jiang:
Resilient reinforcement learning and robust output regulation under denial-of-service attacks. Autom. 142: 110366 (2022) - [j201]Bo Pang, Leilei Cui, Zhong-Ping Jiang:
Human motor learning is robust to control-dependent noise. Biol. Cybern. 116(3): 307-325 (2022) - [j200]Leilei Cui, Shuai Wang, Zhengyou Zhang, Zhong-Ping Jiang:
Asymptotic Trajectory Tracking of Autonomous Bicycles via Backstepping and Optimal Control. IEEE Control. Syst. Lett. 6: 1292-1297 (2022) - [j199]Frédéric Mazenc, Michael Malisoff, Corina Barbalata, Zhong-Ping Jiang:
Event-Triggered Control for Discrete-Time Systems Using a Positive Systems Approach. IEEE Control. Syst. Lett. 6: 1843-1848 (2022) - [j198]Frédéric Mazenc, Michael Malisoff, Corina Barbalata, Zhong-Ping Jiang:
Subpredictor approach for event-triggered control of discrete-time systems with input delays. Eur. J. Control 68: 100664 (2022) - [j197]Si Wu, Tengfei Liu, Qinglin Niu, Zhong-Ping Jiang:
Continuous Safety Control of Mobile Robots in Cluttered Environments. IEEE Robotics Autom. Lett. 7(3): 8012-8019 (2022) - [j196]Frédéric Mazenc, Michael Malisoff, Corina Barbalata, Zhong-Ping Jiang:
Event-triggered control for linear time-varying systems using a positive systems approach. Syst. Control. Lett. 161: 105131 (2022) - [j195]Bo Pang, Tao Bian, Zhong-Ping Jiang:
Robust Policy Iteration for Continuous-Time Linear Quadratic Regulation. IEEE Trans. Autom. Control. 67(1): 504-511 (2022) - [j194]Tengfei Liu, Zhengyan Qin, Yiguang Hong, Zhong-Ping Jiang:
Distributed Optimization of Nonlinear Multiagent Systems: A Small-Gain Approach. IEEE Trans. Autom. Control. 67(2): 676-691 (2022) - [j193]Mengzhe Huang, Zhong-Ping Jiang, Kaan Ozbay:
Learning-Based Adaptive Optimal Control for Connected Vehicles in Mixed Traffic: Robustness to Driver Reaction Time. IEEE Trans. Cybern. 52(6): 5267-5277 (2022) - [j192]Tao Bian, Zhong-Ping Jiang:
Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2781-2790 (2022) - [j191]Weinan Gao, Mohammed Mynuddin, Donald C. Wunsch, Zhong-Ping Jiang:
Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5229-5240 (2022) - [c141]Tong Liu, Hong Wang, Zhong-Ping Jiang:
Data-Driven Optimal Control of Traffic Signals for Urban Road Networks. CDC 2022: 844-849 - [c140]Filippos Fotiadis, Kyriakos G. Vamvoudakis, Zhong-Ping Jiang:
Data-Based Actuator Selection for Optimal Control Allocation. CDC 2022: 4674-4679 - [c139]Mathieu Granzotto, Olivier Lindamulage De Silva, Romain Postoyan, Dragan Nesic, Zhong-Ping Jiang:
Regularizing policy iteration for recursive feasibility and stability. CDC 2022: 6818-6823 - [c138]Sayan Chakraborty, Leilei Cui, Kaan Ozbay, Zhong-Ping Jiang:
Automated Lane Changing Control in Mixed Traffic: An Adaptive Dynamic Programming Approach. ITSC 2022: 1823-1828 - [c137]Jiho Park, Tong Liu, Chieh Wang, Andy Berres, Joseph Severino, Juliette Ugirumurera, Airton G. Kohls, Hong Wang, Jibonananda Sanyal, Zhong-Ping Jiang:
Adaptive Urban Traffic Signal Control for Multiple Intersections: An LQR Approach. ITSC 2022: 2240-2245 - [i15]Leilei Cui, Bo Pang, Zhong-Ping Jiang:
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach. CoRR abs/2210.00204 (2022) - [i14]Mathieu Granzotto, Olivier Lindamulage De Silva, Romain Postoyan, Dragan Nesic, Zhong-Ping Jiang:
Policy iteration: for want of recursive feasibility, all is not lost. CoRR abs/2210.14459 (2022) - [i13]Si Wu, Tengfei Liu, Magnus Egerstedt, Zhong-Ping Jiang:
Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty. CoRR abs/2211.16720 (2022) - [i12]Leilei Cui, Zhong-Ping Jiang:
A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control. CoRR abs/2212.02072 (2022) - 2021
- [j190]Zhi-Liang Zhao, Tianyou Chai, Cui Wei, Dongxu Liu, Tengfei Liu, Zhong-Ping Jiang:
Compensation-signal-driven control for a class of nonlinear uncertain systems. Autom. 125: 109423 (2021) - [j189]Frédéric Mazenc, Michael Malisoff, Corina Barbalata, Zhong-Ping Jiang:
Event-triggered control using a positive systems approach. Eur. J. Control 62: 63-68 (2021) - [j188]Xinyu Wang, Xiaoyuan Luo, Mingyue Zhang, Zhong-Ping Jiang, Xinping Guan:
Detection and localization of biased load attacks in smart grids via interval observer. Inf. Sci. 552: 291-309 (2021) - [j187]Tengfei Liu, Pengpeng Zhang, Mengxi Wang, Zhong-Ping Jiang:
New Results in Stabilization of Uncertain Nonholonomic Systems: An Event-Triggered Control Approach. J. Syst. Sci. Complex. 34(5): 1953-1972 (2021) - [j186]Leilei Cui, Shuai Wang, Jingfan Zhang, Dongsheng Zhang, Jie Lai, Yu Zheng, Zhengyou Zhang, Zhong-Ping Jiang:
Learning-Based Balance Control of Wheel-Legged Robots. IEEE Robotics Autom. Lett. 6(4): 7667-7674 (2021) - [j185]Frédéric Mazenc, Michael Malisoff, Zhong-Ping Jiang:
Reduced-order fast converging observers for systems with discrete measurements and measurement error. Syst. Control. Lett. 150: 104892 (2021) - [j184]Pengpeng Zhang, Tengfei Liu, Zhong-Ping Jiang:
Systematic Design of Robust Event-Triggered State and Output Feedback Controllers for Uncertain Nonholonomic Systems. IEEE Trans. Autom. Control. 66(1): 213-228 (2021) - [j183]Pengpeng Zhang, Tengfei Liu, Zhong-Ping Jiang:
Event-Triggered Stabilization of a Class of Nonlinear Time-Delay Systems. IEEE Trans. Autom. Control. 66(1): 421-428 (2021) - [j182]Bo Pang, Zhong-Ping Jiang:
Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach. IEEE Trans. Autom. Control. 66(2): 888-894 (2021) - [j181]Zhi-Liang Zhao, Zhong-Ping Jiang, Tengfei Liu, Tianyou Chai:
Global Finite-Time Output-Feedback Stabilization of Nonlinear Systems Under Relaxed Conditions. IEEE Trans. Autom. Control. 66(9): 4259-4266 (2021) - [j180]Masoud Davari, Weinan Gao, Zhong-Ping Jiang, Frank L. Lewis:
An Optimal Primary Frequency Control Based on Adaptive Dynamic Programming for Islanded Modernized Microgrids. IEEE Trans Autom. Sci. Eng. 18(3): 1109-1121 (2021) - [j179]Wei Zhu, Wenji Cao, Zhong-Ping Jiang:
Distributed Event-Triggered Formation Control of Multiagent Systems via Complex-Valued Laplacian. IEEE Trans. Cybern. 51(4): 2178-2187 (2021) - [j178]Yuanqiang Zhou, Kyriakos G. Vamvoudakis, Wassim M. Haddad, Zhong-Ping Jiang:
A Secure Control Learning Framework for Cyber-Physical Systems Under Sensor and Actuator Attacks. IEEE Trans. Cybern. 51(9): 4648-4660 (2021) - [j177]Zhanxiu Wang, Tengfei Liu, Zhong-Ping Jiang:
Cooperative Formation Control Under Switching Topology: An Experimental Case Study in Multirotors. IEEE Trans. Cybern. 51(12): 6141-6153 (2021) - [j176]Fuyu Zhao, Weinan Gao, Zhong-Ping Jiang, Tengfei Liu:
Event-Triggered Adaptive Optimal Control With Output Feedback: An Adaptive Dynamic Programming Approach. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5208-5221 (2021) - [c136]Bo Pang, Zhong-Ping Jiang:
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation. AAAI 2021: 9303-9311 - [c135]Leilei Cui, Kaan Özbay, Zhong-Ping Jiang:
Combined Longitudinal and Lateral Control of Autonomous Vehicles based on Reinforcement Learning. ACC 2021: 1929-1934 - [c134]Yang Liu, Zev Nicolai-Scanio, Zhong-Ping Jiang, Li Jin:
Latency-Robust Control of High-Speed Signal-Free Intersections. ACC 2021: 2935-2942 - [c133]Tong Liu, Leilei Cui, Bo Pang, Zhong-Ping Jiang:
Data-Driven Adaptive Optimal Control of Mixed-Traffic Connected Vehicles in a Ring Road. CDC 2021: 77-82 - [c132]Frédéric Mazenc, Michael Malisoff, Corina Barbalata, Zhong-Ping Jiang:
Event-Triggered Control for Systems with State Delays Using a Positive Systems Approach. CDC 2021: 552-557 - [c131]Won Yong Ha, Leilei Cui, Zhong-Ping Jiang:
A Warehouse Scheduling Using Genetic Algorithm and Collision Index. ICAR 2021: 318-323 - [c130]Shuai Wang, Leilei Cui, Jingfan Zhang, Jie Lai, Dongsheng Zhang, Ke Chen, Yu Zheng, Zhengyou Zhang, Zhong-Ping Jiang:
Balance Control of a Novel Wheel-legged Robot: Design and Experiments. ICRA 2021: 6782-6788 - [i11]Agnieszka Truszkowska, Brandon Behring, Jalil Hasanyan, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri:
High-resolution agent-based modeling of COVID-19 spreading in a small town. CoRR abs/2101.05171 (2021) - [i10]Bo Pang, Zhong-Ping Jiang:
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems. CoRR abs/2107.07788 (2021) - [i9]Agnieszka Truszkowska, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri:
Predicting the effects of waning vaccine immunity against COVID-19 through high-resolution agent-based modeling. CoRR abs/2109.08660 (2021) - 2020
- [j175]Adedapo Odekunle, Weinan Gao, Masoud Davari, Zhong-Ping Jiang:
Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems. Autom. 112 (2020) - [j174]Tengfei Liu, Jia Qi, Zhong-Ping Jiang:
Distributed containment control of multi-agent systems with velocity and acceleration saturations. Autom. 117: 108992 (2020) - [j173]Bo Pang, Zhong-Ping Jiang, Iven Mareels:
Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems. Autom. 118: 109035 (2020) - [j172]Tengfei Liu, Zhong-Ping Jiang:
Distributed control of multi-agent systems with pulse-width-modulated controllers. Autom. 119: 109020 (2020) - [j171]Giordano Scarciotti, Zhong-Ping Jiang, Alessandro Astolfi:
Data-driven constrained optimal model reduction. Eur. J. Control 53: 68-78 (2020) - [j170]Zhong-Ping Jiang, Tao Bian, Weinan Gao:
Learning-Based Control: A Tutorial and Some Recent Results. Found. Trends Syst. Control. 8(3): 176-284 (2020) - [j169]Xinyu Wang, Xiaoyuan Luo, Mingyue Zhang, Zhong-Ping Jiang, Xinping Guan:
Detection and Isolation of False Data Injection Attacks in Smart Grid via Unknown Input Interval Observer. IEEE Internet Things J. 7(4): 3214-3229 (2020) - [j168]Tengfei Liu, Zhong-Ping Jiang:
Measurement feedback control of nonlinear systems: a small-gain approach. J. Control. Decis. 7(1): 64-89 (2020) - [j167]Tao Bian, Daniel M. Wolpert, Zhong-Ping Jiang:
Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control. Neural Comput. 32(3): 562-595 (2020) - [j166]Jiaxin Teng, Weinan Gao, Dariusz Czarkowski, Zhong-Ping Jiang:
Optimal Tracking With Disturbance Rejection of Voltage Source Inverters. IEEE Trans. Ind. Electron. 67(6): 4957-4968 (2020) - [j165]Chengwei Wu, Ligang Wu, Jianxing Liu, Zhong-Ping Jiang:
Active Defense-Based Resilient Sliding Mode Control Under Denial-of-Service Attacks. IEEE Trans. Inf. Forensics Secur. 15: 237-249 (2020) - [c129]Mohammed Mynuddin, Weinan Gao, Zhong-Ping Jiang:
Reinforcement Learning for Multi-Agent Systems with an Application to Distributed Predictive Cruise Control. ACC 2020: 315-320 - [c128]Zhi-Liang Zhao, Pengjuan Ma, Sen Chen, Zhong-Ping Jiang:
Global Output-Feedback Finite-Time Stabilization Using a Switching Technique. CDC 2020: 3520-3525 - [c127]Bo Pang, Zhong-Ping Jiang:
A Data-driven Approach for Constrained Infinite-Horizon Linear Quadratic Regulation. CDC 2020: 6010-6015 - [c126]Leilei Cui, Shuai Wang, Jie Lai, Xiangyu Chen, Sicheng Yang, Zhengyou Zhang, Zhong-Ping Jiang:
Nonlinear Balance Control of an Unmanned Bicycle: Design and Experiments. IROS 2020: 7279-7284 - [c125]