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Qun Zong

Also published under: Q. Zong

Publications
92
Citations
1,313
Publications by Year
20072025
Co-Authors:
Show All Co-Authors (96)
Image of author Qun Zong

Qun Zong

Also published under: Q. Zong

Affiliation

School of Electrical and Information Engineering
Tianjin University
Tianjin, China

Publication Topics

Biography

Qun Zong (Member, IEEE) received the B.S., M.S., and Ph.D. degrees in automatic control from Tianjin University, Tianjin, China, in 1983, 1988, and 2002, respectively.,He is currently a Professor with the School of Electrical and Information Engineering, Tianjin University, where he is the Director of New Aircraft Guidance and Control Center, Ministry of Education.,Prof. Zong also serves as an editorial board member for several scientific journals.(Based on document published on 17 September 2020).
Publications
92
Citations
1,313
Publications by Year
20072025
Co-Authors:
Show All Co-Authors (96)
Author's Published Works

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Event-Based Dynamic Quantized Control for Bipartite Consensus

Jie Wang;Yuchen Dong;Bailing Tian;Qun Zong

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2025 | Volume: 55, Issue: 3 | Journal Article |
This article investigates secure bipartite consensus control of nonlinear multiagent systems (MASs) under denial-of-service (DoS) attacks, and designs an event-based dynamic quantized sliding mode control scheme. In order to ensure the stability of MASs in the process of achieving bipartite consensus, combined with the online adjustment strategy of quantitative sensitivity parameters and the desig...Show More

Event-Based Dynamic Quantized Control for Bipartite Consensus

Jie Wang;Yuchen Dong;Bailing Tian;Qun Zong

Year: 2025 | Volume: 55, Issue: 3 | Journal Article |

Safe Reinforcement Learning: Optimal Formation Control With Collision Avoidance of Multiple Satellite Systems

Hui Yu;Liqian Dou;Xiuyun Zhang;Jinna Li;Qun Zong

IEEE Transactions on Cybernetics
Year: 2025 | Volume: 55, Issue: 1 | Journal Article |
This article addresses the collision avoidance and formation control problem for multisatellite systems. A novel safe reinforcement learning (RL) algorithm based on an adaptive dynamic programming framework is proposed. The highlights of the algorithm are the adaptive distance-varying learning method to integrate online data with historical data and the usage of the barrier function (BF) to achiev...Show More

Safe Reinforcement Learning: Optimal Formation Control With Collision Avoidance of Multiple Satellite Systems

Hui Yu;Liqian Dou;Xiuyun Zhang;Jinna Li;Qun Zong

Year: 2025 | Volume: 55, Issue: 1 | Journal Article |

Unmanned Aerial Vehicle Defense Penetration on a Digital-Twin-City Based on an Improved MASAC Reinforcement Learning

Da Liu;Ruilong Zhang;Ping Song;Xiuyun Zhang;Weilun Wang;Qun Zong

2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Year: 2024 | Conference Paper |
In this paper, we investigate the use of multi-UAVs (Unmanned Aerial Vehicles) for defense penetration in an urban environment with obstacles. To ensure a high-quality scenario of the urban environment, a digital-twin-city simulation platform is proposed featuring a powerful physics engine and real-time interaction technology. Subsequently, an improved multi-agent soft actor-critic (MASAC) method ...Show More

Unmanned Aerial Vehicle Defense Penetration on a Digital-Twin-City Based on an Improved MASAC Reinforcement Learning

Da Liu;Ruilong Zhang;Ping Song;Xiuyun Zhang;Weilun Wang;Qun Zong

Year: 2024 | Conference Paper |

Fixed-Time Disturbance Observer-Based MPC Robust Trajectory Tracking Control of Quadrotor

Liwen Xu;Bailing Tian;Cong Wang;Junjie Lu;Dandan Wang;Zhiyu Li;Qun Zong

IEEE/ASME Transactions on Mechatronics
Year: 2024 | Early Access Article |
Cited by: Papers (1)
In this article, a fixed-time disturbance observer-based model predictive control algorithm is proposed for trajectory tracking of quadrotor in the presence of disturbances. First, a novel multivariable fixed-time disturbance observer is proposed to estimate the lumped disturbances. The bi-limit homogeneity and Lyapunov techniques are employed to ensure the convergence of estimation error within a...Show More

Fixed-Time Disturbance Observer-Based MPC Robust Trajectory Tracking Control of Quadrotor

Liwen Xu;Bailing Tian;Cong Wang;Junjie Lu;Dandan Wang;Zhiyu Li;Qun Zong

Year: 2024 | Early Access Article |

Retracted: Robustness Margins for Attainable Consensusability of Unstable Multi-Agent Systems: Output Consensus Protocols Over Directed Network Topology

Qi Mao;Shi Li;Guobao Liu;Liqian Dou;Bailing Tian;Qun Zong

IEEE Transactions on Circuits and Systems I: Regular Papers
Year: 2024 | Early Access Article |
In this article, we deliver analytical expressions to characterize the attainable consensusability of a linear unstable multi-agent system (MAS). The considered MAS undergoes uncertainty variations and non-minimum phase dynamics, whose interaction topology is delineated by a communication network with a directed spanning tree. Our primary objective is to compute the maximal robustness consensus ma...Show More

Retracted: Robustness Margins for Attainable Consensusability of Unstable Multi-Agent Systems: Output Consensus Protocols Over Directed Network Topology

Qi Mao;Shi Li;Guobao Liu;Liqian Dou;Bailing Tian;Qun Zong

Year: 2024 | Early Access Article |

Prescribed Performance Sliding Mode Control with Parameter Tuning Based on DDPG for RLV in Reentry Phase

Menglong Li;Qun Zong;Xiuyun Zhang;Zhiyu Li;Xinyi Zhao

2024 43rd Chinese Control Conference (CCC)
Year: 2024 | Conference Paper |
In this paper, the attitude control algorithm of reusable launch vehicle (RLV) reentry phase is studied. Firstly, to improve the transient performance while maintaining robustness, a control algorithm combining global fast terminal sliding mode and prescribed performance control (PPC) is designed for the RLV attitude control in reentry phase. In the proposed algorithm, a novel fast reaching law is...Show More

Prescribed Performance Sliding Mode Control with Parameter Tuning Based on DDPG for RLV in Reentry Phase

Menglong Li;Qun Zong;Xiuyun Zhang;Zhiyu Li;Xinyi Zhao

Year: 2024 | Conference Paper |

A Reinforcement Learning Approach for Helicopter Vibration Control

Yu Chen;Qun Zong;Xiuyun Zhang;Hao Yang;Xinyi Zhao

2024 43rd Chinese Control Conference (CCC)
Year: 2024 | Conference Paper |
The trailing-edge flaps(TEFs) has proven effective in reducing helicopter vibration, however, further research is needed to refine its control methods. Firstly, leveraging the harmonic characteristics of helicopters, a neural network model has been established. Then, a comprehensive procedure of the data-driven reinforcement learning(RL) controller is introduced, by integrating policy relief(PR) m...Show More

A Reinforcement Learning Approach for Helicopter Vibration Control

Yu Chen;Qun Zong;Xiuyun Zhang;Hao Yang;Xinyi Zhao

Year: 2024 | Conference Paper |

Enhancing Space-Based Situational Awareness: Real-Time Observation of Dynamic Targets With Meta-Cooperative-Scheduling Net

Da Liu;Qun Zong;Xiuyun Zhang;Wenjing Liu;Liqian Dou;Bailing Tian

IEEE Transactions on Aerospace and Electronic Systems
Year: 2024 | Volume: 60, Issue: 6 | Journal Article |
Due to the characteristic of fast response, strong pointing ability, and high stability of agile satellites, the space-based situational awareness system composed of agile satellites can enable real-time relay observation of dynamic targets and support early warning of space threats. In order to improve the early warning capability of the constellation for multiple dynamic noncooperative targets a...Show More

Enhancing Space-Based Situational Awareness: Real-Time Observation of Dynamic Targets With Meta-Cooperative-Scheduling Net

Da Liu;Qun Zong;Xiuyun Zhang;Wenjing Liu;Liqian Dou;Bailing Tian

Year: 2024 | Volume: 60, Issue: 6 | Journal Article |

Global Finite-Time Adaptive Attitude Control for Coupled Spacecraft With Model Uncertainty and Actuator Faults

Wanwan Zhu;Yukai Yang;Bailing Tian;Qun Zong

IEEE Transactions on Control Systems Technology
Year: 2024 | Volume: 32, Issue: 6 | Journal Article |
In this brief, a global finite-time adaptive attitude control algorithm is investigated for flexible spacecraft with slosh structure under model uncertainty, external disturbance, and actuator fault. First, the arctangent function (AF) surface is designed to realize the faster convergence time of quaternion-descripted attitude control system. Then, based on AF, an adaptive fault-tolerant control (...Show More

Global Finite-Time Adaptive Attitude Control for Coupled Spacecraft With Model Uncertainty and Actuator Faults

Wanwan Zhu;Yukai Yang;Bailing Tian;Qun Zong

Year: 2024 | Volume: 32, Issue: 6 | Journal Article |

Velocity-Free Attitude Control for Flexible Spacecraft With Global Finite-Time Convergence

Wanwan Zhu;Yukai Yang;Bailing Tian;Qun Zong

IEEE Transactions on Circuits and Systems II: Express Briefs
Year: 2024 | Volume: 71, Issue: 9 | Journal Article |
In this brief, a global finite-time attitude control algorithm is proposed for flexible spacecraft without angular velocity measurement. First, a global finite-time observer is designed to estimate unknown angular velocity, eliminating the assumption that the derivative of attitude angle or initial angular velocity is bounded. Based on the proposed observer, a non-overestimated adaptive terminal s...Show More

Velocity-Free Attitude Control for Flexible Spacecraft With Global Finite-Time Convergence

Wanwan Zhu;Yukai Yang;Bailing Tian;Qun Zong

Year: 2024 | Volume: 71, Issue: 9 | Journal Article |

Game of Drones: Intelligent Online Decision Making of Multi-UAV Confrontation

Da Liu;Qun Zong;Xiuyun Zhang;Ruilong Zhang;Liqian Dou;Bailing Tian

IEEE Transactions on Emerging Topics in Computational Intelligence
Year: 2024 | Volume: 8, Issue: 2 | Journal Article |
Cited by: Papers (4)
Due to the characteristics of the small size and low cost of unmanned aerial vehicles (UAVs), Multi-UAV confrontation will play an important role in future wars. The Multi-UAV confrontation game in the air combat environment is investigated in this paper. To truly deduce the confrontation scene, a physics engine is established based on the Multi-UAV Confrontation Scenario (MCS) framework, enabling...Show More

Game of Drones: Intelligent Online Decision Making of Multi-UAV Confrontation

Da Liu;Qun Zong;Xiuyun Zhang;Ruilong Zhang;Liqian Dou;Bailing Tian

Year: 2024 | Volume: 8, Issue: 2 | Journal Article |

Distributed Practical Finite-Time Formation Control of Quadrotor UAVs Based on Finite-Time Event-Triggered Disturbance Observer

Fang Wang;Shan He;Chao Zhou;Yali Gao;Qun Zong

IEEE Systems Journal
Year: 2024 | Volume: 18, Issue: 1 | Journal Article |
Cited by: Papers (1)
In this article, a finite-time event-triggered disturbance observer (FTETDO) is first designed to handle external disturbance of multiple quadrotor UAVs (QUAVs). The designed FTETDO can effectively reduce update number of observer and the estimation error achieves practical finite-time stability without Zeno behavior. Then a distributed finite-time tracking control strategy is proposed to realize ...Show More

Distributed Practical Finite-Time Formation Control of Quadrotor UAVs Based on Finite-Time Event-Triggered Disturbance Observer

Fang Wang;Shan He;Chao Zhou;Yali Gao;Qun Zong

Year: 2024 | Volume: 18, Issue: 1 | Journal Article |

Design and Implementation of Continuous Bounded Finite-Time Attitude Control of Reusable Launch Vehicle

Zhiyu Li;Bailing Tian;Xiuyun Zhang;Qun Zong

IEEE Transactions on Industrial Electronics
Year: 2024 | Volume: 71, Issue: 2 | Journal Article |
Cited by: Papers (1)
In this article, a novel continuous bounded finite-time control algorithm is proposed for reusable launch vehicle (RLV) attitude control system with mismatched disturbances and unknown control coefficients. The remarkable feature of the developed algorithm is to ensure the finite-time stability of the RLV attitude system with uniformly continuous bounded control torque signal. Meanwhile, a multiva...Show More

Design and Implementation of Continuous Bounded Finite-Time Attitude Control of Reusable Launch Vehicle

Zhiyu Li;Bailing Tian;Xiuyun Zhang;Qun Zong

Year: 2024 | Volume: 71, Issue: 2 | Journal Article |

Event-Based Robust Optimal Consensus Control for Nonlinear Multiagent System With Local Adaptive Dynamic Programming

Jie Wang;Zitao Zhang;Bailing Tian;Qun Zong

IEEE Transactions on Neural Networks and Learning Systems
Year: 2024 | Volume: 35, Issue: 1 | Journal Article |
Cited by: Papers (17)
This article investigates the robust optimal consensus for nonlinear multiagent systems (MASs) through the local adaptive dynamic programming (ADP) approach and the event-triggered control method. Due to the nonlinearities in dynamics, the first part defines a novel measurement error to construct a distributed integral sliding-mode controller, and the consensus errors can approximately converge to...Show More

Event-Based Robust Optimal Consensus Control for Nonlinear Multiagent System With Local Adaptive Dynamic Programming

Jie Wang;Zitao Zhang;Bailing Tian;Qun Zong

Year: 2024 | Volume: 35, Issue: 1 | Journal Article |

Adaptive Personalized Federated Reinforcement Learning for Satellite Formation Fault Diagnosis

Jiajun Leng;Xiuyun Zhang;Da Liu;Qun Zong

2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
Year: 2023 | Conference Paper |
This paper introduces an approach for diagnosing faults in satellite formations based on adaptive personalized federated reinforcement learning . Firstly, Markov decision model of fault diagnosis problem is established, and multi-agent reinforcement learning method is used for local training. Secondly, the adaptive weights αi are added to the federated learning framework to mix local and global mo...Show More

Adaptive Personalized Federated Reinforcement Learning for Satellite Formation Fault Diagnosis

Jiajun Leng;Xiuyun Zhang;Da Liu;Qun Zong

Year: 2023 | Conference Paper |

Barrier Function-Based Adaptive Robust Sliding Mode Control for Helicopter Vibration Reduction

Fuhe Wang;Qun Zong;Xiuyun Zhang;Yu Chen

2023 42nd Chinese Control Conference (CCC)
Year: 2023 | Conference Paper |
In this paper, the active vibration damping control algorithm of helicopter rotor system with trailing edge flaps (TEF) is studied. Firstly, a control-oriented vibration response model of helicopter rotor system with trailing edge flaps is established by system identification method. On this basis, in order to achieve fast and stable vibration reduction control while maintaining robustness, a cont...Show More

Barrier Function-Based Adaptive Robust Sliding Mode Control for Helicopter Vibration Reduction

Fuhe Wang;Qun Zong;Xiuyun Zhang;Yu Chen

Year: 2023 | Conference Paper |

A Pursuit-Evasion Game on a Real-City Virtual Simulation Platform Based on Multi-Agent Reinforcement Learning

Zhengkang Zhang;Qun Zong;Da Liu;Xiuyun Zhang;Ruilong Zhang;Weilun Wang

2023 42nd Chinese Control Conference (CCC)
Year: 2023 | Conference Paper |
In this paper, we investigate the problem of pursuit-evasion games for quadrotors in an urban obstacle scenario. At first, a high-fidelity simulation environment is designed based on realistic urban scenarios. This environment contains a powerful physical engine and real-time interaction technology with the algorithm side, guaranteeing the consistency of the simulation environment and the real wor...Show More

A Pursuit-Evasion Game on a Real-City Virtual Simulation Platform Based on Multi-Agent Reinforcement Learning

Zhengkang Zhang;Qun Zong;Da Liu;Xiuyun Zhang;Ruilong Zhang;Weilun Wang

Year: 2023 | Conference Paper |

Multi-Information Fusion-Based Fault Diagnosis for Satellite Formation

Jiajun Leng;Xiuyun Zhang;Ruilong Zhang;Da Liu;Qun Zong

2023 42nd Chinese Control Conference (CCC)
Year: 2023 | Conference Paper |
Considering the incomplete measurement information of a single satellite, a cluster-level fault diagnosis method based on deep reinforcement learning is proposed in this paper. Through the multi-information fusion of satellite formation, the relative position and satellite sensitivity of neighboring satellites are further considered to realize the in-orbit diagnosis and monitoring of the entire sa...Show More

Multi-Information Fusion-Based Fault Diagnosis for Satellite Formation

Jiajun Leng;Xiuyun Zhang;Ruilong Zhang;Da Liu;Qun Zong

Year: 2023 | Conference Paper |

PGO-LIOM: Tightly Coupled LiDAR-Inertial Odometry and Mapping via Parallel and Gradient-Free Optimization

Hongming Shen;Qun Zong;Bailing Tian;Xuewei Zhang;Hanchen Lu

IEEE Transactions on Industrial Electronics
Year: 2023 | Volume: 70, Issue: 11 | Journal Article |
Cited by: Papers (9)
Real-time localization and mapping for micro aerial vehicles (MAV) is a challenging problem, due to the limitation of the onboard computational power. In this article, a tightly coupled light detection and ranging (LiDAR)-inertial odometry is developed, which achieves high accuracy, real-time trajectories estimation for MAV utilizing only onboard sensors and a low-power onboard computer. The key i...Show More

PGO-LIOM: Tightly Coupled LiDAR-Inertial Odometry and Mapping via Parallel and Gradient-Free Optimization

Hongming Shen;Qun Zong;Bailing Tian;Xuewei Zhang;Hanchen Lu

Year: 2023 | Volume: 70, Issue: 11 | Journal Article |

Multi-Agent Reinforcement Learning-Based Coordinated Dynamic Task Allocation for Heterogenous UAVs

Da Liu;Liqian Dou;Ruilong Zhang;Xiuyun Zhang;Qun Zong

IEEE Transactions on Vehicular Technology
Year: 2023 | Volume: 72, Issue: 4 | Journal Article |
Cited by: Papers (23)
The coordinated dynamic task allocation (CDTA) problem for heterogeneous unmanned aerial vehicles (UAVs) in the presence of environment uncertainty is studied in this paper. Dynamic task allocation mainly solves the problem of resource reallocation after new tasks appear, so that the multi-UAV systems can quickly respond to further information and objectives. In this paper, the CDTA strategy for h...Show More

Multi-Agent Reinforcement Learning-Based Coordinated Dynamic Task Allocation for Heterogenous UAVs

Da Liu;Liqian Dou;Ruilong Zhang;Xiuyun Zhang;Qun Zong

Year: 2023 | Volume: 72, Issue: 4 | Journal Article |

Finite-Time Attitude Optimization Maneuver Control for Coupled Spacecraft Under Attitude Measurement Errors and Actuator Faults

Xiuyun Zhang;Qun Zong;Liqian Dou;Bailing Tian;Wenjing Liu

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2023 | Volume: 53, Issue: 5 | Journal Article |
Cited by: Papers (7)
The large-angle attitude maneuver trajectory design and tracking control for flexible spacecraft with slosh structure under attitude measurement errors and actuator faults are investigated in this article. Considering that rapid attitude maneuvers can lead to severe flexible vibrations and liquid sloshing, which in turn affects system stability. Therefore, under the requirement of fast maneuvering...Show More

Finite-Time Attitude Optimization Maneuver Control for Coupled Spacecraft Under Attitude Measurement Errors and Actuator Faults

Xiuyun Zhang;Qun Zong;Liqian Dou;Bailing Tian;Wenjing Liu

Year: 2023 | Volume: 53, Issue: 5 | Journal Article |

Game of Drones: Multi-UAV Pursuit-Evasion Game With Online Motion Planning by Deep Reinforcement Learning

Ruilong Zhang;Qun Zong;Xiuyun Zhang;Liqian Dou;Bailing Tian

IEEE Transactions on Neural Networks and Learning Systems
Year: 2023 | Volume: 34, Issue: 10 | Journal Article |
Cited by: Papers (66)
As one of the tiniest flying objects, unmanned aerial vehicles (UAVs) are often expanded as the “swarm” to execute missions. In this article, we investigate the multiquadcopter and target pursuit-evasion game in the obstacles environment. For high-quality simulation of the urban environment, we propose the pursuit-evasion scenario (PES) framework to create the environment with a physics engine, wh...Show More

Game of Drones: Multi-UAV Pursuit-Evasion Game With Online Motion Planning by Deep Reinforcement Learning

Ruilong Zhang;Qun Zong;Xiuyun Zhang;Liqian Dou;Bailing Tian

Year: 2023 | Volume: 34, Issue: 10 | Journal Article |

Anti-collision Trajectory Planning for Satellite Formation Reconstruction Based on Deep Reinforcement Learning

Hongbo Li;Qun Zong;Xiuyun Zhang

2022 41st Chinese Control Conference (CCC)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
This paper proposes an optimal trajectory planning method for satellite formation reconstruction based on deep reinforcement learning. To begin, the action space, state space, and reward function of satellite formation reconstruction are created, with the collision avoidance constraint taken into account. Second, the algorithm's essential parameters' learning rate and appropriate noise are determi...Show More

Anti-collision Trajectory Planning for Satellite Formation Reconstruction Based on Deep Reinforcement Learning

Hongbo Li;Qun Zong;Xiuyun Zhang

Year: 2022 | Conference Paper |

Process Monitoring for New Mode with Limited Data in Multimode Processes Based on Transfer Component Analysis

Qi Lei;Shumei Zhang;Qun Zong;Jie Yuan

2022 41st Chinese Control Conference (CCC)
Year: 2022 | Conference Paper |
In order to satisfy different production needs, working modes are often adjusted in real industrial processes, which may lead to the emergence of new working modes with a small amount of modeling data. However, most of the traditional process monitoring algorithm requires that there are sufficient data to establish the reliable models. To address the above issue, a process monitoring algorithm is ...Show More

Process Monitoring for New Mode with Limited Data in Multimode Processes Based on Transfer Component Analysis

Qi Lei;Shumei Zhang;Qun Zong;Jie Yuan

Year: 2022 | Conference Paper |

Voxel-Based Localization and Mapping for Multirobot System in GPS-Denied Environments

Hongming Shen;Qun Zong;Bailing Tian;Hanchen Lu

IEEE Transactions on Industrial Electronics
Year: 2022 | Volume: 69, Issue: 10 | Journal Article |
Cited by: Papers (18)
Collaboration localization and mapping in GPS-denied environments is a challenging problem, due to the computing power and communication bandwidth constraints of onboard equipment. In this article, a voxel-based localization and mapping system is developed, which achieves real-time trajectory estimation for the multirobot system utilizing only onboard sensors, computing power, and communication mo...Show More

Voxel-Based Localization and Mapping for Multirobot System in GPS-Denied Environments

Hongming Shen;Qun Zong;Bailing Tian;Hanchen Lu

Year: 2022 | Volume: 69, Issue: 10 | Journal Article |

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