Bosen Lian

According to our database, Bosen Lian authored at least 37 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Reinforcement Learning-Based H∞ Control of 2-D Markov Jump Roesser Systems With Optimal Disturbance Attenuation.

Jiacheng Wu, Bosen Lian, Hongye Su, Yang Zhu

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Non-Conservative Data-driven Safe Control Design for Nonlinear Systems with Polyhedral Safe Sets.

Amir Modares, Bosen Lian, Hamidreza Modares

CoRR, May, 2025

Inverse Value Iteration and Q-Learning: Algorithms, Stability, and Robustness.

Bosen Lian, Wenqian Xue, Frank L. Lewis, Ali Davoudi

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Inverse Reinforcement Learning for Discrete-Time Systems With Data Dropouts.

Jialu Fan, Pengfei Shi, Wenqian Xue, Bosen Lian, Yunfang Cui, Frank L. Lewis

IEEE Trans. Cybern., April, 2025

Distributed Global Nash Equilibrium of Interactive Adversarial Graphical Games.

Yizhong Zhang, Bosen Lian, Frank L. Lewis

J. Syst. Sci. Complex., April, 2025

Nash-Minmax Strategy for Multiplayer Multiagent Graphical Games With Reinforcement Learning.

Bosen Lian, Wenqian Xue, Frank L. Lewis, Ali Davoudi

IEEE Trans. Control. Netw. Syst., March, 2025

Efficient Reward Shaping for Multiagent Systems.

Vrushabh S. Donge, Bosen Lian, Frank L. Lewis, Ali Davoudi

IEEE Trans. Control. Netw. Syst., March, 2025

Model-Free Inverse H-Infinity Control for Imitation Learning.

Wenqian Xue, Bosen Lian, Yusuf Kartal, Jialu Fan, Tianyou Chai, Frank L. Lewis

IEEE Trans Autom. Sci. Eng., 2025

Data-Driven Weighted H∞ Control of Persistent Dwell Time Switched Systems With Optimal Disturbance Attenuation Guaranteed.

Jiacheng Wu, Bosen Lian, Hongye Su, Yang Zhu

IEEE Trans Autom. Sci. Eng., 2025

Data-Driven Optimization-Based Cost and Optimal Control Inference.

Jiacheng Wu, Wenqian Xue, Frank L. Lewis, Bosen Lian

IEEE Control. Syst. Lett., 2025

Certified data-driven inverse reinforcement learning of Markov jump systems.

Wenqian Xue, Frank L. Lewis, Bosen Lian

Autom., 2025

Robust Inverse Reinforcement Learning Control with Unknown States.

Bosen Lian, Wenqian Xue, Nhan Nguyen

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

2024

Distributed Dynamic Clustering and Consensus in Multiagent Systems.

Bosen Lian, Ahmet Taha Koru, Wenqian Xue, Frank L. Lewis, Ali Davoudi

IEEE Trans. Autom. Control., September, 2024

Distributed Minmax Strategy for Multiplayer Games: Stability, Robustness, and Algorithms.

Bosen Lian, Vrushabh S. Donge, Wenqian Xue, Frank L. Lewis, Ali Davoudi

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Inverse Reinforcement Learning for Trajectory Imitation Using Static Output Feedback Control.

Wenqian Xue, Bosen Lian, Jialu Fan, Tianyou Chai, Frank L. Lewis

IEEE Trans. Cybern., March, 2024

Data-Efficient Reinforcement Learning for Complex Nonlinear Systems.

Vrushabh S. Donge, Bosen Lian, Frank L. Lewis, Ali Davoudi

IEEE Trans. Cybern., March, 2024

Data-Driven Inverse Reinforcement Learning Control for Linear Multiplayer Games.

Bosen Lian, Vrushabh S. Donge, Frank L. Lewis, Tianyou Chai, Ali Davoudi

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Inverse Q-Learning Using Input-Output Data.

Bosen Lian, Wenqian Xue, Frank L. Lewis, Ali Davoudi

IEEE Trans. Cybern., February, 2024

Two-Player Multiagent Graphical Games with Reinforcement Learning^*.

Bosen Lian, Jiacheng Wu

Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

2023

Accelerated Reinforcement Learning via Dynamic Mode Decomposition.

Vrushabh S. Donge, Bosen Lian, Frank L. Lewis, Ali Davoudi

IEEE Trans. Control. Netw. Syst., December, 2023

Off-policy inverse Q-learning for discrete-time antagonistic unknown systems.

Bosen Lian, Wenqian Xue, Yijing Xie, Frank L. Lewis, Ali Davoudi

Autom., September, 2023

Inverse Reinforcement Learning for Adversarial Apprentice Games.

Bosen Lian, Wenqian Xue, Frank L. Lewis, Tianyou Chai

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Multiagent Graphical Games With Inverse Reinforcement Learning.

Vrushabh S. Donge, Bosen Lian, Frank L. Lewis, Ali Davoudi

IEEE Trans. Control. Netw. Syst., June, 2023

Inverse Reinforcement Q-Learning Through Expert Imitation for Discrete-Time Systems.

Wenqian Xue, Bosen Lian, Jialu Fan, Patrik Kolaric, Tianyou Chai, Frank L. Lewis

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Anomaly Detection and Correction of Optimizing Autonomous Systems With Inverse Reinforcement Learning.

Bosen Lian, Yusuf Kartal, Frank L. Lewis, Dariusz G. Mikulski, Gregory R. Hudas, Yan Wan, Ali Davoudi

IEEE Trans. Cybern., 2023

Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games.

Wenqian Xue, Bosen Lian, Jialu Fan, Tianyou Chai, Frank L. Lewis

CoRR, 2023

2022

Directed Graph Clustering Algorithms, Topology, and Weak Links.

Xiao Zhang, Bosen Lian, Frank L. Lewis, Yan Wan, Daizhan Cheng

IEEE Trans. Syst. Man Cybern. Syst., 2022

Inverse Reinforcement Learning in Tracking Control Based on Inverse Optimal Control.

Wenqian Xue, Patrik Kolaric, Jialu Fan, Bosen Lian, Tianyou Chai, Frank L. Lewis

IEEE Trans. Cybern., 2022

Robust Inverse Q-Learning for Continuous-Time Linear Systems in Adversarial Environments.

Bosen Lian, Wenqian Xue, Frank L. Lewis, Tianyou Chai

IEEE Trans. Cybern., 2022

Distributed Kalman Consensus Filter for Estimation With Moving Targets.

Bosen Lian, Yan Wan, Ya Zhang, Mushuang Liu, Frank L. Lewis, Tianyou Chai

IEEE Trans. Cybern., 2022

Robustness Analysis of Distributed Kalman Filter for Estimation in Sensor Networks.

Bosen Lian, Frank L. Lewis, Gary A. Hewer, Katia Estabridis, Tianyou Chai

IEEE Trans. Cybern., 2022

Online Learning of Minmax Solutions for Distributed Estimation and Tracking Control of Sensor Networks in Graphical Games.

Bosen Lian, Frank L. Lewis, Gary A. Hewer, Katia Estabridis, Tianyou Chai

IEEE Trans. Control. Netw. Syst., 2022

Inverse reinforcement learning for multi-player noncooperative apprentice games.

Bosen Lian, Wenqian Xue, Frank L. Lewis, Tianyou Chai

Autom., 2022

Inverse Reinforcement Learning Control for Linear Multiplayer Games.

Bosen Lian, Vrushabh S. Donge, Frank L. Lewis, Tianyou Chai, Ali Davoudi

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Inverse Reinforcement Learning for Multi-player Apprentice Games in Continuous-Time Nonlinear Systems.

Bosen Lian, Wenqian Xue, Frank L. Lewis, Tianyou Chai, Ali Davoudi

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

Integrated Sliding Mode Control and Neural Networks Based Packet Disordering Prediction for Nonlinear Networked Control Systems.

Bosen Lian, Qingling Zhang, Jinna Li

IEEE Trans. Neural Networks Learn. Syst., 2019

Distributed Consensus-based Kalman Filtering for Estimation with Multiple Moving Targets.

Bosen Lian, Yan Wan, Ya Zhang, Mushuang Liu, Frank L. Lewis, Alexandra Abad, Tina Setter, Dunham Short, Tianyou Chai

Proceedings of the 58th IEEE Conference on Decision and Control, 2019