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Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles

IEEE access, 2020, Vol.8, p.209776-209789

2020

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A deep Koopman operator‐based modelling approach for long‐term prediction of dynamics with pixel‐level measurements

CAAI Transactions on Intelligence Technology, 2024-02, Vol.9 (1), p.178-196

2024

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A Hierarchical MPC Scheme for Coordination of Independent Systems With Shared Resources and Plug-and-Play Capabilities

IEEE transactions on control systems technology, 2020-03, Vol.28 (2), p.521-532

2020

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IEEE_Xplore

Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles

IEEE transactions on intelligent vehicles, 2023-01, Vol.8 (1), p.135-146

2023

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IEEE_Xplore

Personalized Motion Planning and Tracking Control for Autonomous Vehicles Obstacle Avoidance

IEEE transactions on vehicular technology, 2022-05, Vol.71 (5), p.4733-4747

2022

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IEEE_Xplore

Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles

IEEE transactions on industrial electronics (1982), 2024, p.1-10

2024

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Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles

IEEE transactions on intelligent vehicles, 2022-09, Vol.7 (3), p.556-568

2022

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IEEE_Xplore

A Secure Decentralized Spatial Crowdsourcing Scheme for 6G-Enabled Network in Box

IEEE transactions on industrial informatics, 2022-09, Vol.18 (9), p.1-1

2022

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IEEE_Xplore

Robust Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Unknown Dynamics and State Constraints

IEEE transactions on systems, man, and cybernetics. Systems, 2022-12, Vol.52 (12), p.7314-7327

2022

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IEEE_Xplore

Multi-rate model predictive control algorithm for systems with fast-slow dynamics

IET control theory & applications, 2018-12, Vol.12 (18), p.2468-2477

2018

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Receding Horizon Actor-Critic Learning Control for Nonlinear Time-Delay Systems With Unknown Dynamics

IEEE transactions on systems, man, and cybernetics. Systems, 2023-08, Vol.53 (8), p.1-14

2023

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IEEE_Xplore

Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics

IEEE robotics and automation letters, 2024-02, Vol.9 (2), p.1-8

2024

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IEEE_Xplore

A Dual-Level Model Predictive Control Scheme for Multitimescale Dynamical Systems

IEEE transactions on systems, man, and cybernetics. Systems, 2023-03, Vol.53 (3), p.1-14

2023

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Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles

IEEE transactions on systems, man, and cybernetics. Systems, 2021-11, Vol.51 (11), p.6962-6975

2021

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IEEE_Xplore

DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles

2023 IEEE International Conference on Robotics and Automation (ICRA), 2023, p.975-981

2023

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A safe reinforcement learning approach for autonomous navigation of mobile robots in dynamic environments

CAAI Transactions on Intelligence Technology, 2023-10

2023

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Data-driven Kalman Filter with Kernel-based Koopman Operators for Nonlinear Robot Systems

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, p.12872-12878

2022

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IEEE_Xplore

Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines

IEEE transactions on systems, man, and cybernetics. Systems, 2021-06, Vol.51 (6), p.3664-3677

2021

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IEEE_Xplore

Parameters optimization design of air-liquid-combined impact pickaxe

Proceedings of the 2013 International Conference on Advanced Mechatronic Systems, 2013, p.326-331

2013

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IEEE_Xplore

Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots

2022 International Conference on Robotics and Automation (ICRA), 2022, p.5532-5538

2022

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A Two-layer MPC Approach for Consistent Planning and Control of Autonomous Vehicles

2022 International Conference on Advanced Robotics and Mechatronics (ICARM), 2022, p.717-724

2022

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Receding-Horizon Actor-Critic Design for Learning-Based Control of Nonlinear Continuous-time Systems

2020 3rd International Conference on Unmanned Systems (ICUS), 2020, p.1095-1101

2020

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Real-time Motion Planning Based on MPC With Obstacle Constraint Convexification For Autonomous Ground Vehicles

2020 3rd International Conference on Unmanned Systems (ICUS), 2020, p.1035-1041

2020

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A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2653-2663

2020

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IEEE_Xplore

UWB/INS Integrated Pedestrian Positioning for Robust Indoor Environments

IEEE sensors journal, 2020-12, Vol.20 (23), p.14401-14409

2020

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IEEE_Xplore

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Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles

A deep Koopman operator‐based modelling approach for long‐term prediction of dynamics with pixel‐level measurements

A Hierarchical MPC Scheme for Coordination of Independent Systems With Shared Resources and Plug-and-Play Capabilities

Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles

Personalized Motion Planning and Tracking Control for Autonomous Vehicles Obstacle Avoidance

Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles

Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles

A Secure Decentralized Spatial Crowdsourcing Scheme for 6G-Enabled Network in Box

Robust Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Unknown Dynamics and State Constraints

Multi-rate model predictive control algorithm for systems with fast-slow dynamics

Receding Horizon Actor-Critic Learning Control for Nonlinear Time-Delay Systems With Unknown Dynamics

Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics

A Dual-Level Model Predictive Control Scheme for Multitimescale Dynamical Systems

Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles

DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles

A safe reinforcement learning approach for autonomous navigation of mobile robots in dynamic environments

Data-driven Kalman Filter with Kernel-based Koopman Operators for Nonlinear Robot Systems

Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines

Parameters optimization design of air-liquid-combined impact pickaxe

Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots

A Two-layer MPC Approach for Consistent Planning and Control of Autonomous Vehicles

Receding-Horizon Actor-Critic Design for Learning-Based Control of Nonlinear Continuous-time Systems

Real-time Motion Planning Based on MPC With Obstacle Constraint Convexification For Autonomous Ground Vehicles

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

UWB/INS Integrated Pedestrian Positioning for Robust Indoor Environments

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