Adaptive robust dynamic surface control of DC torque motors with true parameter estimates. - Zhiping Li; Jie Chen 003; Minggang Gan; Hao Fang 001; Guozhu Zhang (ACC, 2010)

Adaptive Robust Control of Servo Mechanisms With Compensation for Nonlinearly Parameterized Dynamic Friction. - Zhiping Li; Jie Chen 003; Guozhu Zhang; Minggang Gan (IEEE Trans. Control. Syst. Technol., 2013)

Formation control of multiple Euler-Lagrange systems via null-space-based behavioral control. - Jie Chen 003; Minggang Gan; Jie Huang 001; LiHua Dou; Hao Fang 001 (Sci. China Inf. Sci., 2016)

Sliding Mode Control with Perturbation Estimation and Hysteresis Compensator Based on Bouc-Wen Model in Tackling Fast-Varying Sinusoidal Position Control of a Piezoelectric Actuator. - Minggang Gan; Zhi Qiao; Yanlong Li (J. Syst. Sci. Complex., 2016)

Adaptive dynamic programming and optimal stabilization for linear systems with time-varying uncertainty. - Meng Zhang 018; Minggang Gan; Jie Chen 003; Zhong-Ping Jiang (ASCC, 2017)

Adaptive optimal control for a class of uncertain systems with saturating actuators and external disturbance using integral reinforcement learning. - Jingang Zhao; Minggang Gan; Jie Chen 003; Dongyang Hou; Meng Zhang 018; Yong-Qiang Bai (ASCC, 2017)

Data-Driven Adaptive Optimal Control for Linear Systems With Structured Time-Varying Uncertainty. - Meng Zhang 018; Minggang Gan (IEEE Access, 2019)

Event-triggered H∞ optimal control for continuous-time nonlinear systems using neurodynamic programming. - Jingang Zhao; Minggang Gan; Chi Zhang 035 (Neurocomputing, 2019)

Data-driven optimal control of switched linear autonomous systems. - Chi Zhang; Minggang Gan; Jingang Zhao (Int. J. Syst. Sci., 2019)

Data-driven optimal switching of switched systems. - Minggang Gan; Chi Zhang; Jingang Zhao (J. Frankl. Inst., 2019)

Data-driven adaptive optimal control of linear uncertain systems with unknown jumping dynamics. - Meng Zhang 018; Minggang Gan; Jie Chen 003; Zhong-Ping Jiang (J. Frankl. Inst., 2019)

Data-driven adaptive optimal control for stochastic systems with unmeasurable state. - Meng Zhang 018; Minggang Gan; Jie Chen 003 (Neurocomputing, 2020)

Finite-horizon optimal control for continuous-time uncertain nonlinear systems using reinforcement learning. - Jingang Zhao; Minggang Gan (Int. J. Syst. Sci., 2020)

Optimal control of discrete-time switched linear systems. - Jingang Zhao; Minggang Gan; Guoliang Chen 004 (J. Frankl. Inst., 2020)

RDBN: Visual relationship detection with inaccurate RGB-D images. - Xiaozhou Liu; Minggang Gan (Knowl. Based Syst., 2020)

Data-Driven Suboptimal Scheduling of Switched Systems. - Chi Zhang 035; Minggang Gan; Jingang Zhao; Chenchen Xue (Sensors, 2020)

Data Collection Task Planning of a Fixed-Wing Unmanned Aerial Vehicle in Forest Fire Monitoring. - Hao Zhang 081; Lihua Dou; Bin Xin 002; Jie Chen 003; Minggang Gan; Yulong Ding (IEEE Access, 2021)

What and Where to See: Deep Attention Aggregation Network for Action Detection. - Yuxuan He; Minggang Gan; Xiaozhou Liu (ICIRA (1), 2022)

Adaptive depth-aware visual relationship detection. - Minggang Gan; Yuxuan He (Knowl. Based Syst., 2022)

Temporal Attention-Pyramid Pooling for Temporal Action Detection. - Minggang Gan; Yan Zhang 129 (IEEE Trans. Multim., 2023)

Improving accuracy of temporal action detection by deep hybrid convolutional network. - Minggang Gan; Yan Zhang 129 (Multim. Tools Appl., 2023)

Secondary crash mitigation controller after rear-end collisions using reinforcement learning. - Xiaohui Hou; Minggang Gan; Junzhi Zhang; Shiyue Zhao; Yuan Ji (Adv. Eng. Informatics, 2023)

Vehicle ride comfort optimization in the post-braking phase using residual reinforcement learning. - Xiaohui Hou; Minggang Gan; Junzhi Zhang; Shiyue Zhao; Yuan Ji (Adv. Eng. Informatics, 2023)

Temporal-visual proposal graph network for temporal action detection. - Minggang Gan; Yan Zhang 129; Shaowen Su (Appl. Intell., 2023)

Keyframe Selection Via Deep Reinforcement Learning for Skeleton-Based Gesture Recognition. - Minggang Gan; Jinting Liu; Yuxuan He; Aobo Chen; Qianzhao Ma (IEEE Robotics Autom. Lett., 2023)

Event-Triggered Fixed-Time Sliding Mode Control for Leader-Follower Consensus of Nonlinear Multi-Agent Systems. - Yixi Yang; Bin Xin 002; Lihua Dou; Minggang Gan (ICCA, 2024)

Risk assessment and interactive motion planning with visual occlusion using graph attention networks and reinforcement learning. - Xiaohui Hou; Minggang Gan; Wei Wu; Tiantong Zhao; Jie Chen 003 (Adv. Eng. Informatics, 2024)

A hybrid data- and model-driven learning framework for remaining useful life prognostics. - Hongjie Cao; Wei Xiao; Jian Sun 003; Minggang Gan; Gang Wang 014 (Eng. Appl. Artif. Intell., 2024)

Merging planning in dense traffic scenarios using interactive safe reinforcement learning. - Xiaohui Hou; Minggang Gan; Wei Wu; Chenyu Wang; Yuan Ji; Shiyue Zhao (Knowl. Based Syst., 2024)

Content Temporal Relation Network for temporal action proposal generation. - Minggang Gan; Yan Zhang (Pattern Recognit., 2024)

Relative Localization and Circumnavigation of a UGV0 Based on Mixed Measurements of Multi-UAVs by Employing Intelligent Sensors. - Jia Guo; Minggang Gan; Kang Hu (Sensors, 2024)

Online video visual relation detection with hierarchical multi-modal fusion. - Yuxuan He; Minggang Gan; Qianzhao Ma (Multim. Tools Appl., 2024)

Cross-Observability Optimistic-Pessimistic Safe Reinforcement Learning for Interactive Motion Planning With Visual Occlusion. - Xiaohui Hou; Minggang Gan; Wei Wu; Yuan Ji; Shiyue Zhao; Jie Chen 003 (IEEE Trans. Intell. Transp. Syst., 2024)

Online spatio-temporal action detection with adaptive sampling and hierarchical modulation. - Shaowen Su; Minggang Gan (Multim. Syst., 2024)

Proposal Semantic Relationship Graph Network for Temporal Action Detection. - Shaowen Su; Yan Zhang 129; Minggang Gan (ACM Trans. Intell. Syst. Technol., 2024)

Predatory-imminence-continuum-inspired graph reinforcement learning for interactive motion planning in dense traffic. - Xiaohui Hou; Minggang Gan; Wei Wu; Tiantong Zhao; Jie Chen 003 (Expert Syst. Appl., 2025)

Conditional Diffusion Model for Skeleton-Based Gesture Recognition With Severe Occlusions. - Jinting Liu; Minggang Gan; Yao Du; Keyi Guan; Jia Guo (IEEE Signal Process. Lett., 2025)

Risk-Conscious Mutations in Jump-Start Reinforcement Learning for Autonomous Racing Policy. - Xiaohui Hou; Minggang Gan; Wei Wu; Shiyue Zhao; Yuan Ji; Jie Chen 003 (IEEE Trans. Cybern., 2025)

Equipping With Cognition: Interactive Motion Planning Using Metacognitive-Attribution Inspired Reinforcement Learning for Autonomous Vehicles. - Xiaohui Hou; Minggang Gan; Wei Wu; Yuan Ji; Shiyue Zhao; Jie Chen 003 (IEEE Trans. Intell. Transp. Syst., 2025)