Robust Trajectory Linearization Control of Hypersonic Entry Flight Using Extended State Observer and Time-Varying Bandwidth. - Zhiqiang Pu; Guoliang Fan; Xiang-min Tan; Jianqiang Yi (ICONS, 2013)

An Integrated Approach to Hypersonic Entry Attitude Control. - Zhiqiang Pu; Ruyi Yuan; Xiang-min Tan; Jianqiang Yi (Int. J. Autom. Comput., 2014)

A Class of Adaptive Extended State Observers for Nonlinear Disturbed Systems. - Zhiqiang Pu; Ruyi Yuan; Jianqiang Yi; Xiang-min Tan (IEEE Trans. Ind. Electron., 2015)

Integrated cooperative control scheme for multiple quadrotors based on improved adaptive disturbance rejection control. - Han Du; Zhiqiang Pu; Jianqiang Yi (ROBIO, 2016)

Adaptive type-2 fuzzy output feedback control for flexible air-breathing hypersonic vehicles. - Yifan Liu 011; Zhiqiang Pu; Jianqiang Yi (ROBIO, 2016)

Interval type-2 TSK nominal-fuzzy-model-based sliding mode controller design for flexible air-breathing hypersonic vehicles. - Junlong Gao; Jianqiang Yi; Zhiqiang Pu; Chengdong Li (FUZZ-IEEE, 2017)

Time-varying formation finite-time tracking control for multi-UAV systems under jointly connected topologies. - Tianyi Xiong; Zhiqiang Pu; Jianqiang Yi (Int. J. Intell. Comput. Cybern., 2017)

Adaptive Type-2 Fuzzy Control for Flexible Air-breathing Hypersonic Vehicles with Measurement Noises. - Yifan Liu 011; Jianqiang Yi; Ruyi Yuan; Zhiqiang Pu (ACC, 2018)

Robust chattering-free control for flexible air-breathing hypersonic vehicles in the presence of disturbances and measurement noises. - Jinlin Sun; Jianqiang Yi; Xiangmin Tan; Zhiqiang Pu (ACC, 2018)

Consensus Based Formation Control for Multi-UAV Systems with Time-varying Delays and Jointly Connected Topologies. - Tianyi Xiong; Zhiqiang Pu; Jianqiang Yi; Xinlong Tao (CASE, 2018)

Desired Compensation Based Adaptive Fuzzy Control for Hypersonic Vehicle with Measurement Noises. - Yifan Liu 011; Jianqiang Yi; Zhiqiang Pu (FUZZ-IEEE, 2018)

Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning. - Zezhi Sui; Zhiqiang Pu; Jianqiang Yi; Xiangmin Tan (IJCNN, 2018)

Neural Network based Distributed Adaptive Time-varying Formation Control for Multi-UAV Systems with Varying Time Delays. - Tianyi Xiong; Zhiqiang Pu; Jianqiang Yi (IJCNN, 2018)

A Hybrid Multiagent Collision Avoidance Method for Formation Control. - Zezhi Sui; Zhiqiang Pu; Jianqiang Yi; Tianyi Xiong (ICIRA (4), 2019)

Formation Control with Collision Avoidance through Deep Reinforcement Learning. - Zezhi Sui; Zhiqiang Pu; Jianqiang Yi; Tianyi Xiong (IJCNN, 2019)

Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach. - Tianyi Xiong; Zhiqiang Pu; Jianqiang Yi; Zezhi Sui (IJCNN, 2019)

Time-sequence Action-Decision and Navigation Through Stage Deep Reinforcement Learning in Complex Dynamic Environments. - Huimu Wang; Zhiqiang Pu; Jianqiang Yi; Tenghai Qiu; Zhen Liu 020; Zhaoyang Liu (SSCI, 2019)

State-Estimator-Integrated Robust Adaptive Tracking Control for Flexible Air-Breathing Hypersonic Vehicle With Noisy Measurements. - Xinlong Tao; Jianqiang Yi; Zhiqiang Pu; Tianyi Xiong (IEEE Trans. Instrum. Meas., 2019)

Robust fuzzy tracking control for flexible air-breathing hypersonic vehicles with measurement noises. - Yifan Liu 011; Jinlin Sun; Zhiqiang Pu; Jianqiang Yi; Shiliang Pu (Trans. Inst. Meas. Control, 2019)

A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation. - Huimu Wang; Zhiqiang Pu; Zhen Liu 020; Jianqiang Yi; Tenghai Qiu (CASE, 2020)

Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks. - Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi; Jinlin Sun; Tianyi Xiong; Tenghai Qiu (CASE, 2020)

STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-agent Cooperation. - Huimu Wang; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi (ICONIP (2), 2020)

Multi-agent Cooperation and Competition with Two-Level Attention Network. - Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi; Huimu Wang (ICONIP (2), 2020)

Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. - Tianle Zhang; Zhen Liu 020; Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi (IJCNN, 2020)

Adaptive Fuzzy Nonsmooth Backstepping Output-Feedback Control for Hypersonic Vehicles With Finite-Time Convergence. - Jinlin Sun; Jianqiang Yi; Zhiqiang Pu; Zhen Liu 020 (IEEE Trans. Fuzzy Syst., 2020)

Fixed-Time Control With Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers. - Jinlin Sun; Zhiqiang Pu; Jianqiang Yi; Zhen Liu 020 (IEEE Trans. Ind. Informatics, 2020)

Fixed-Time Sliding Mode Disturbance Observer-Based Nonsmooth Backstepping Control for Hypersonic Vehicles. - Jinlin Sun; Jianqiang Yi; Zhiqiang Pu; Xiangmin Tan (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Semantic Perception Swarm Policy with Deep Reinforcement Learning. - Tianle Zhang; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi (ICONIP (3), 2021)

Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. - Shiguang Wu 001; Zhiqiang Pu; Zhen Liu 020; Tenghai Qiu; Jianqiang Yi; Tianle Zhang (ICRA, 2021)

Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. - Huimu Wang; Tenghai Qiu; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Wanmai Yuan (IJCNN, 2021)

Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. - Shiguang Wu 001; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi (IROS, 2021)

Hierarchical Cooperative Swarm Policy Learning with Role Emergence. - Tianle Zhang; Zhen Liu 020; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi (SSCI, 2021)

Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation. - Huimu Wang; Zhen Liu 020; Jianqiang Yi; Zhiqiang Pu (Algorithms, 2021)

Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies. - Tianyi Xiong; Zhou Gu; Jianqiang Yi; Zhiqiang Pu (Neurocomputing, 2021)

Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach. - Xinlong Tao; Jianqiang Yi; Zhiqiang Pu; Tianyi Xiong (IEEE Trans. Cybern., 2021)

Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration. - Zezhi Sui; Zhiqiang Pu; Jianqiang Yi; Shiguang Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

On the Principle and Applications of Conditional Disturbance Negation. - Zhiqiang Pu; Jinlin Sun; Jianqiang Yi; Zhiqiang Gao (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Shiguang Wu 001 (AAAI, 2022)

A Selected Interaction Swarming Algorithm for Connected Dynamic Coverage of Mobile Sensor Networks. - Lexing Wang; Zhiqiang Pu; Tenghai Qiu; Zhen Liu 020; Jianqiang Yi (ACC, 2022)

Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning. - Min Chen; Zhiqiang Pu; Yi Pan; Jianqiang Yi (ICONIP (4), 2022)

Tacit Commitments Emergence in Multi-agent Reinforcement Learning. - Boyin Liu; Zhiqiang Pu; Junlong Gao; Jianqiang Yi; Zhenyu Guo (ICONIP (1), 2022)

Multi-Target Encirclement with Collision Avoidance via Deep Reinforcement Learning using Relational Graphs. - Tianle Zhang; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi (ICRA, 2022)

A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Wanmai Yuan (IJCNN, 2022)

Multi-Agent Local Information Reconstruction for Situational Cognition. - Shiguang Wu 001; Zhiqiang Pu; Tianle Zhang; Tenghai Qiu; Jianqiang Yi (IJCNN, 2022)

Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. - Tianle Zhang; Zhen Liu 020; Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi (IJCNN, 2022)

Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping. - Tianle Zhang; Tenghai Qiu; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Jinying Zhu; Ruiguang Hu (IROS, 2022)

A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks. - Lexing Wang; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Wanmai Yuan (SSCI, 2022)

Characterizing player's playing styles based on Player Vectors for each playing position in the Chinese Football Super League. - Yuesen Li; Shouxin Zong; Yanfei Shen; Zhiqiang Pu; Miguel Ángel Gómez; Yixiong Cui (CoRR, 2022)

Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Xiaolin Ai; Wanmai Yuan (CoRR, 2022)

Learning Heterogeneous Agent Cooperation via Multiagent League Training. - Qingxu Fu; Xiaolin Ai; Jianqiang Yi; Tenghai Qiu; Wanmai Yuan; Zhiqiang Pu (CoRR, 2022)

Finite-Time Command-Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems. - Jinlin Sun; Haibo He; Jianqiang Yi; Zhiqiang Pu (IEEE Trans. Cybern., 2022)

Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems With Time-Varying Constraints and Input Saturations. - Jinlin Sun; Jianqiang Yi; Zhiqiang Pu (IEEE Trans. Fuzzy Syst., 2022)

A Knowledge-Based Autonomous Decision-Making Method for Agents in Asymmetric Confrontation. - Lexing Wang; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Jinying Zhu (CASE, 2023)

Improving Generalization of Multi-agent Reinforcement Learning Through Domain-Invariant Feature Extraction. - Yifan Xu; Zhiqiang Pu; Qiang Cai; Feimo Li; Xinghua Chai (ICANN (6), 2023)

Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning. - Boyin Liu; Zhiqiang Pu; Yi Pan; Jianqiang Yi; Yanyan Liang 001; Du Zhang (ICML, 2023)

All for Goals: a Stylized Automated Analysis Framework in Football Matches. - Min Chen; Zhiqiang Pu; Yi Pan; Jianqiang Yi; Yixiong Cui; Lida Du (IJCNN, 2023)

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Xiaolin Ai; Wanmai Yuan (IJCNN, 2023)

Causal Mean Field Multi-Agent Reinforcement Learning. - Hao Ma; Zhiqiang Pu; Yi Pan; Boyin Liu; Junlong Gao; Zhenyu Guo (IJCNN, 2023)

Heterogeneous-graph Attention Reinforcement Learning for Football Matches. - Shijie Wang 006; Yi Pan; Zhiqiang Pu; Jianqiang Yi; Yanyan Liang 001; Du Zhang (IJCNN, 2023)

Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems. - Tianle Zhang; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Xiaolin Ai; Wanmai Yuan (IJCNN, 2023)

Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning. - Shijie Wang 006; Yi Pan; Zhiqiang Pu; Boyin Liu; Jianqiang Yi (IROS, 2023)

Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed. - Shiguang Wu 001; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi; Tianle Zhang (IEEE Trans. Ind. Informatics, 2023)

Adaptive Fuzzy Appointed-Time Control for Uncertain Systems Bounded by Positive Functions. - Lihui Ding; Jinlin Sun; Shihong Ding; Zhiqiang Pu; Jianqiang Yi (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems. - Tianle Zhang; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance. - Zhiqiang Pu; Tianle Zhang; Xiaolin Ai; Tenghai Qiu; Jianqiang Yi (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation. - Zhiqiang Pu; Huimu Wang; Boyin Liu; Jianqiang Yi (IEEE Trans. Games, 2023)

Appointed-Time Control for Flexible Hypersonic Vehicles with Conditional Disturbance Negation. - Jinlin Sun; Zhiqiang Pu; Yafei Chang; Shihong Ding; Jianqiang Yi (IEEE Trans. Aerosp. Electron. Syst., 2023)

Attention Enhanced Reinforcement Learning for Multi agent Cooperation. - Zhiqiang Pu; Huimu Wang; Zhen Liu 020; Jianqiang Yi; Shiguang Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning to Play Football From Sports Domain Perspective: A Knowledge-Embedded Deep Reinforcement Learning Framework. - Boyin Liu; Zhiqiang Pu; Tianle Zhang; Huimu Wang; Jianqiang Yi; Jiachen Mi (IEEE Trans. Games, 2023)

Peer Incentive Reinforcement Learning for Cooperative Multiagent Games. - Tianle Zhang; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi (IEEE Trans. Games, 2023)

Measuring Policy Distance for Multi-Agent Reinforcement Learning. - Tianyi Hu; Zhiqiang Pu; Xiaolin Ai; Tenghai Qiu; Jianqiang Yi (AAMAS, 2024)

Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation. - Qi'ang Cai; Xiaolin Ai; Tianqi Liu; Zhiqiang Pu; Jianqiang Yi; Feng Lv (ICANN (4), 2024)

Extraction and Transfer of General Deep Feature in Reinforcement Learning. - Min Chen; Yi Pan; Zhiqiang Pu; Jianqiang Yi; Shijie Wang 006; Boyin Liu (IJCNN, 2024)

Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning. - Tianyi Hu; Xiaolin Ai; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi (IJCNN, 2024)

Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning. - Hao Ma; Tianyi Hu; Zhiqiang Pu; Boyin Liu; Xiaolin Ai; Yanyan Liang 001; Min Chen (NeurIPS, 2024)

An Affine-Based Maneuver Control Method for Multi-Agent Cooperative Transportation System Over Switching Formations. - Tianqi Liu; Xiaolin Ai; Zhiqiang Pu; Feng Lv (SMC, 2024)

A cooperation and decision-making framework in dynamic confrontation for multi-agent systems. - Lexing Wang; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi (Comput. Electr. Eng., 2024)

Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems. - Qingxu Fu; Zhiqiang Pu; Min Chen; Tenghai Qiu; Jianqiang Yi (CoRR, 2024)

Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction. - Jinyuan Feng; Min Chen; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi (CoRR, 2024)

Orientation and Decision-Making for Soccer Based on Sports Analytics and AI: A Systematic Review. - Zhiqiang Pu; Yi Pan; Shijie Wang 006; Boyin Liu; Min Chen; Hao Ma; Yixiong Cui (IEEE CAA J. Autom. Sinica, 2024)

Fuzzy Feedback Multiagent Reinforcement Learning for Adversarial Dynamic Multiteam Competitions. - Qingxu Fu; Zhiqiang Pu; Yi Pan; Tenghai Qiu; Jianqiang Yi (IEEE Trans. Fuzzy Syst., 2024)

QFuture: Learning Future Expectation Cognition in Multiagent Reinforcement Learning. - Boyin Liu; Zhiqiang Pu; Yi Pan; Jianqiang Yi; Min Chen; Shijie Wang 006 (IEEE Trans. Cogn. Dev. Syst., 2024)

Multiexperience-Assisted Efficient Multiagent Reinforcement Learning. - Tianle Zhang; Zhen Liu 020; Jianqiang Yi; Shiguang Wu 001; Zhiqiang Pu; Yanjie Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Long-Term and Short-Term Opponent Intention Inference for Football Multiplayer Policy Learning. - Shijie Wang 006; Zhiqiang Pu; Yi Pan; Boyin Liu; Hao Ma; Jianqiang Yi (IEEE Trans. Cogn. Dev. Syst., 2024)

Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning. - Hao Ma; Shijie Wang 006; Zhiqiang Pu; Siyao Zhao; Xiaolin Ai (AAAI, 2025)

Distributed Nash equilibrium for pursuit-evasion game with one evader and multiple pursuers. - Libing Wang; Zhixin Liu; Shuo Yuan; Zhiqiang Pu (Sci. China Inf. Sci., 2025)

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning. - Jinyuan Feng; Zhiqiang Pu; Tianyi Hu; Dongmin Li; Xiaolin Ai; Huimu Wang (CoRR, 2025)

MA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning. - Jinyuan Feng; Min Chen; Zhiqiang Pu; Yifan Xu; Yanyan Liang 001 (CoRR, 2025)

Stochastic Trajectory Prediction under Unstructured Constraints. - Hao Ma; Zhiqiang Pu; Shijie Wang 006; Boyin Liu; Huimu Wang; Yanyan Liang 001; Jianqiang Yi (CoRR, 2025)

Unreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning. - Tianyi Hu; Qingxu Fu; Zhiqiang Pu; Yuan Wang; Tenghai Qiu (CoRR, 2025)

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Xiaolin Ai (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning. - Jinyuan Feng; Chaopeng Wei; Tenghai Qiu; Tianyi Hu; Zhiqiang Pu (CoRR, 2025)

A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Xiaolin Ai; Wanmai Yuan (IEEE Trans. Neural Networks Learn. Syst., 2025)

Cognition-Oriented Multiagent Reinforcement Learning. - Tenghai Qiu; Shiguang Wu 001; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Yuqian Zhao; Biao Luo (IEEE Trans. Neural Networks Learn. Syst., 2025)