Publications

This Software was developed under Research Sponsored by:
National Science Foundation (NSF)
Army Research Office (ARO)
Office of Naval Research (ONR)

Note: Only a few example papers come with code. If you have trouble making it work, please figure it out yourself. The methods are explained in the papers.

Note: Publications are listed by their publication dates unless they have not yet been published.

Books

2024

1. 

   Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games

   Bosen Lian, Wenqian Xue, Frank L Lewis, Hamidreza Modares, and Bahare Kiumarsi

   2024

   Bib HTML

   @book{lian2024integral,
     title = {Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games},
     author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L and Modares, Hamidreza and Kiumarsi, Bahare},
     year = {2024},
     publisher = {Springer},
   }

Book Chapters

2026

1. 

   Inverse Reinforcement Learning of Differential Games

   Bosen Lian, Wenqian Xue, and Frank L Lewis

   In Encyclopedia of Systems and Control, Sep 2026

   Bib HTML

   @incollection{lian2024inverse,
     title = {Inverse Reinforcement Learning of Differential Games},
     author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L},
     booktitle = {Encyclopedia of Systems and Control},
     volume = {2},
     pages = {598--605},
     year = {2026},
     month = sep,
     publisher = {Springer},
   }

2. 

   Data-Driven Control and Multi-Agent Reinforcement Learning of Cyber-Physical Systems

   Shan Zuo, Bosen Lian, and Yi Zhang

   In Encyclopedia of Systems and Control, Sep 2026

   Bib HTML

   @incollection{zuo2024data,
     title = {Data-Driven Control and Multi-Agent Reinforcement Learning of Cyber-Physical Systems},
     author = {Zuo, Shan and Lian, Bosen and Zhang, Yi},
     booktitle = {Encyclopedia of Systems and Control},
     volume = {3},
     pages = {593--608},
     year = {2026},
     month = sep,
     publisher = {Springer},
   }

Journal & Conference Publications

2026

1. 

   Inverse Reinforcement Learning for Disturbed Networked Nonlinear Systems With Data Dropouts

   Pengfei Shi, Wenqian Xue, Jialu Fan, Frank L Lewis, and Bosen Lian

   IEEE Transactions on Neural Networks and Learning Systems, Apr 2026

   Bib HTML

   @article{shi2025inverse,
     title = {Inverse Reinforcement Learning for Disturbed Networked Nonlinear Systems With Data Dropouts},
     author = {Shi, Pengfei and Xue, Wenqian and Fan, Jialu and Lewis, Frank L and Lian, Bosen},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {37},
     number = {4},
     pages = {1978--1990},
     publisher = {IEEE},
     year = {2026},
     month = apr,
   }

2. 

   Data-Driven Inverse Reinforcement Learning for Markov Multiplayer Tidal Turbine Systems

   Jiacheng Wu, and Bosen Lian

   IEEE Transactions on Automation Science and Engineering, Apr 2026

   Bib HTML

   @article{wu2026data,
     title = {Data-Driven Inverse Reinforcement Learning for Markov Multiplayer Tidal Turbine Systems},
     author = {Wu, Jiacheng and Lian, Bosen},
     journal = {IEEE Transactions on Automation Science and Engineering},
     volume = {23},
     pages = { 8660--8671},
     year = {2026},
     month = apr,
     publisher = {IEEE},
   }

3. 

   Distributed FilterNet Reinforcement Learning for Achieving Output Consensus in Heterogeneous Multiplayer Multiagent Systems

   Jiacheng Wu, Bosen Lian, Changyun Wen, and Yang Zhu

   IEEE Transactions on Neural Networks and Learning Systems, Feb 2026

   Bib HTML

   @article{wu2025distributed,
     title = {Distributed FilterNet Reinforcement Learning for Achieving Output Consensus in Heterogeneous Multiplayer Multiagent Systems},
     author = {Wu, Jiacheng and Lian, Bosen and Wen, Changyun and Zhu, Yang},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {37},
     number = {2},
     pages = {575--588},
     year = {2026},
     month = feb,
     publisher = {IEEE},
   }

4. 

   Initially Excited Asynchronous Reinforcement Learning Control With Monotonicity and Stability

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

   IEEE Transactions on Systems, Man, and Cybernetics: Systems, Feb 2026

   Bib HTML

   @article{wu2026initially,
     title = {Initially Excited Asynchronous Reinforcement Learning Control With Monotonicity and Stability},
     author = {Wu, Jiacheng and Xue, Wenqian and Lewis, Frank L and Lian, Bosen},
     journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
     volume = {56},
     number = {2},
     pages = {1138--1150},
     year = {2026},
     month = feb,
     publisher = {IEEE},
   }

5. 

   Interactions of Time-Scale Separated Hybrid Adaptive Systems

   Nhan T Nguyen, and Bosen Lian

   In AIAA SCITECH 2026 Forum, Jan 2026

   Bib HTML

   @inproceedings{nguyen2026interactions,
     title = {Interactions of Time-Scale Separated Hybrid Adaptive Systems},
     author = {Nguyen, Nhan T and Lian, Bosen},
     booktitle = {AIAA SCITECH 2026 Forum},
     pages = {2584},
     year = {2026},
     month = jan,
   }

2025

1. 

   Distributed Global Nash Containment Control and Learning of Multiplayer Multiagent Systems

   Yizhong Zhang, Bosen Lian, Wenqian Xue, Dariusz G Mikulski, and Gregory R Hudas

   IEEE Transactions on Automation Science and Engineering, Nov 2025

   Bib HTML

   @article{zhang2025distributed,
     title = {Distributed Global Nash Containment Control and Learning of Multiplayer Multiagent Systems},
     author = {Zhang, Yizhong and Lian, Bosen and Xue, Wenqian and Mikulski, Dariusz G and Hudas, Gregory R},
     journal = {IEEE Transactions on Automation Science and Engineering},
     volume = {22},
     pages = {23835--23848},
     year = {2025},
     month = nov,
     publisher = {IEEE},
   }

2. 

   Data-driven weighted H-infinity control of persistent dwell time switched systems with optimal disturbance attenuation guaranteed

   Jiacheng Wu, Bosen Lian, Hongye Su, and Yang Zhu

   IEEE Transactions on Automation Science and Engineering, Oct 2025

   Bib HTML

   @article{wu2024data,
     title = {Data-driven weighted H-infinity control of persistent dwell time switched systems with optimal disturbance attenuation guaranteed},
     author = {Wu, Jiacheng and Lian, Bosen and Su, Hongye and Zhu, Yang},
     journal = {IEEE Transactions on Automation Science and Engineering},
     volume = {22},
     pages = {8162--8173},
     year = {2025},
     month = oct,
     publisher = {IEEE},
   }

3. 

   Improved DV-Hop Localization With Optimized Anchor Selection in Anisotropic Networks

   Ruizhuo Song, Shi Xing, and Bosen Lian

   IEEE Transactions on Vehicular Technology, Oct 2025

   Bib HTML

   @article{song2025improved,
     title = {Improved DV-Hop Localization With Optimized Anchor Selection in Anisotropic Networks},
     author = {Song, Ruizhuo and Xing, Shi and Lian, Bosen},
     journal = {IEEE Transactions on Vehicular Technology},
     volume = {74},
     number = {10},
     pages = {16310--16321},
     year = {2025},
     month = oct,
     publisher = {IEEE},
   }

4. 

   Distributed cluster containment control of swarms via differential game-theoretic learning

   Bosen Lian, Nhan T Nguyen, and Frank L Lewis

   Unmanned Systems, Oct 2025

   Bib HTML Code

   @article{lian2025distributed,
     title = {Distributed cluster containment control of swarms via differential game-theoretic learning},
     author = {Lian, Bosen and Nguyen, Nhan T and Lewis, Frank L},
     journal = {Unmanned Systems},
     volume = {13},
     number = {5},
     pages = {1283--1294},
     year = {2025},
     month = oct,
   }

5. 

   Reinforcement learning-based H-infinity control of 2-D Markov jump roesser systems with optimal disturbance attenuation

   Jiacheng Wu, Bosen Lian, Hongye Su, and Yang Zhu

   IEEE Transactions on Neural Networks and Learning Systems, Jul 2025

   Bib HTML

   @article{wu2024reinforcement,
     title = {Reinforcement learning-based H-infinity control of 2-D Markov jump roesser systems with optimal disturbance attenuation},
     author = {Wu, Jiacheng and Lian, Bosen and Su, Hongye and Zhu, Yang},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {36},
     number = {7},
     pages = {13319--13332},
     year = {2025},
     month = jul,
     publisher = {IEEE},
   }

6. 

   Data-Driven Optimization-Based Cost and Optimal Control Inference

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

   IEEE Control Systems Letters, Jul 2025

   Bib HTML

   @article{wu2025data,
     title = {Data-Driven Optimization-Based Cost and Optimal Control Inference},
     author = {Wu, Jiacheng and Xue, Wenqian and Lewis, Frank L and Lian, Bosen},
     journal = {IEEE Control Systems Letters},
     volume = {9},
     pages = { 1700--1705},
     year = {2025},
     month = jul,
     publisher = {IEEE},
   }

7. 

   Certified data-driven inverse reinforcement learning of Markov jump systems

   Wenqian Xue, Frank L Lewis, and Bosen Lian

   Automatica, Jun 2025

   Bib HTML

   @article{xue2025certified,
     title = {Certified data-driven inverse reinforcement learning of Markov jump systems},
     author = {Xue, Wenqian and Lewis, Frank L and Lian, Bosen},
     journal = {Automatica},
     volume = {176},
     pages = {112239},
     year = {2025},
     month = jun,
     publisher = {Elsevier},
   }

8. 

   Inverse value iteration and Q-learning: Algorithms, stability, and robustness

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

   IEEE Transactions on Neural Networks and Learning Systems, Apr 2025

   Bib HTML

   @article{lian2024inverse2,
     title = {Inverse value iteration and Q-learning: Algorithms, stability, and robustness},
     author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L and Davoudi, Ali},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {36},
     number = {4},
     pages = {6970--6980},
     year = {2025},
     month = apr,
     publisher = {IEEE},
   }

9. 

   Inverse reinforcement learning for discrete-time systems with data dropouts

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

   IEEE Transactions on Cybernetics, Apr 2025

   Bib HTML

   @article{fan2025inverse,
     title = {Inverse reinforcement learning for discrete-time systems with data dropouts},
     author = {Fan, Jialu and Shi, Pengfei and Xue, Wenqian and Lian, Bosen and Cui, Yunfang and Lewis, Frank L},
     journal = {IEEE Transactions on Cybernetics},
     volume = {55},
     number = {4},
     pages = {1744--1757},
     year = {2025},
     month = apr,
     publisher = {IEEE},
   }

10. 

    Efficient Reward Shaping for Multiagent Systems

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

    IEEE Transactions on Control of Network Systems, Mar 2025

    Bib HTML

    @article{donge2024efficient,
      title = {Efficient Reward Shaping for Multiagent Systems},
      author = {Donge, Vrushabh S and Lian, Bosen and Lewis, Frank L and Davoudi, Ali},
      journal = {IEEE Transactions on Control of Network Systems},
      volume = {12},
      number = {1},
      pages = {687--699},
      year = {2025},
      month = mar,
      publisher = {IEEE},
    }

11. 

    Nash-minmax strategy for multiplayer multiagent graphical games with reinforcement learning

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

    IEEE Transactions on Control of Network Systems, Mar 2025

    Bib HTML Code

    @article{lian2024nash,
      title = {Nash-minmax strategy for multiplayer multiagent graphical games with reinforcement learning},
      author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L and Davoudi, Ali},
      journal = {IEEE Transactions on Control of Network Systems},
      volume = {12},
      number = {1},
      pages = {763--775},
      year = {2025},
      month = mar,
      publisher = {IEEE},
    }

2024

1. 

   Dynamic Self-Triggered Parallel Control of Guidance Intercept Systems With Constrained Inputs via Adaptive Dynamic Programming

   Lu Liu, Ruizhuo Song, and Bosen Lian

   International Journal of Robust and Nonlinear Control, Oct 2024

   Bib HTML

   @article{liu2024dynamic,
     title = {Dynamic Self-Triggered Parallel Control of Guidance Intercept Systems With Constrained Inputs via Adaptive Dynamic Programming},
     author = {Liu, Lu and Song, Ruizhuo and Lian, Bosen},
     journal = {International Journal of Robust and Nonlinear Control},
     year = {2024},
     month = oct,
     publisher = {Wiley Online Library},
   }

2. 

   Distributed dynamic clustering and consensus in multiagent systems

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

   IEEE Transactions on Automatic Control, Sep 2024

   Bib HTML

   @article{lian2024distributed,
     title = {Distributed dynamic clustering and consensus in multiagent systems},
     author = {Lian, Bosen and Koru, Ahmet Taha and Xue, Wenqian and Lewis, Frank L and Davoudi, Ali},
     journal = {IEEE Transactions on Automatic Control},
     volume = {69},
     number = {9},
     pages = {6474--6481},
     year = {2024},
     month = sep,
     publisher = {IEEE},
   }

3. 

   Model-free inverse H-infinity control for imitation learning

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

   IEEE Transactions on Automation Science and Engineering, Jul 2024

   Bib HTML

   @article{xue2024model,
     title = {Model-free inverse H-infinity control for imitation learning},
     author = {Xue, Wenqian and Lian, Bosen and Kartal, Yusuf and Fan, Jialu and Chai, Tianyou and Lewis, Frank L},
     journal = {IEEE Transactions on Automation Science and Engineering},
     volume = {22},
     pages = {5661--5672},
     year = {2024},
     month = jul,
     publisher = {IEEE},
   }

4. 

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

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

   IEEE Transactions on Neural Networks and Learning Systems, Mar 2024

   Bib HTML Code

   @article{lian2022distributed,
     title = {Distributed Minmax Strategy for Multiplayer Games: Stability, Robustness, and Algorithms},
     author = {Lian, Bosen and Donge, Vrushabh S and Xue, Wenqian and Lewis, Frank L and Davoudi, Ali},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {35},
     number = {3},
     pages = {3265--3277},
     year = {2024},
     month = mar,
     publisher = {IEEE},
   }

5. 

   Inverse Reinforcement Learning for Trajectory Imitation Using Static Output Feedback Control

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

   IEEE Transactions on Cybernetics, Mar 2024

   Bib HTML

   @article{xue2023inverse,
     title = {Inverse Reinforcement Learning for Trajectory Imitation Using Static Output Feedback Control},
     author = {Xue, Wenqian and Lian, Bosen and Fan, Jialu and Chai, Tianyou and Lewis, Frank L},
     journal = {IEEE Transactions on Cybernetics},
     volume = {54},
     number = {3},
     pages = {1695--1707},
     year = {2024},
     month = mar,
     publisher = {IEEE},
   }

6. 

   Data-efficient reinforcement learning for complex nonlinear systems

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

   IEEE Transactions on Cybernetics, Mar 2024

   Bib HTML

   @article{donge2023data,
     title = {Data-efficient reinforcement learning for complex nonlinear systems},
     author = {Donge, Vrushabh S and Lian, Bosen and Lewis, Frank L and Davoudi, Ali},
     journal = {IEEE Transactions on Cybernetics},
     volume = {54},
     number = {3},
     pages = {1391--1402},
     year = {2024},
     month = mar,
     publisher = {IEEE},
   }

7. 

   Data-driven inverse reinforcement learning control for linear multiplayer games

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

   IEEE Transactions on Neural Networks and Learning Systems, Feb 2024

   Bib HTML Code

   @article{lian2022data,
     title = {Data-driven inverse reinforcement learning control for linear multiplayer games},
     author = {Lian, Bosen and Donge, Vrushabh S and Lewis, Frank L and Chai, Tianyou and Davoudi, Ali},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {35},
     number = {2},
     pages = {82028--2041},
     year = {2024},
     month = feb,
     publisher = {IEEE},
   }

8. 

   Inverse Q-learning using input–output data

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

   IEEE Transactions on Cybernetics, Feb 2024

   Bib HTML

   @article{lian2023inverse,
     title = {Inverse Q-learning using input--output data},
     author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L and Davoudi, Ali},
     journal = {IEEE Transactions on Cybernetics},
     volume = {54},
     number = {2},
     pages = {728--738},
     year = {2024},
     month = feb,
     publisher = {IEEE},
   }

2023

1. 

   Accelerated Reinforcement Learning Via Dynamic Mode Decomposition

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

   IEEE Transactions on Control of Network Systems, Dec 2023

   Bib HTML Code

   @article{donge2023accelerated,
     title = {Accelerated Reinforcement Learning Via Dynamic Mode Decomposition},
     author = {Donge, Vrushabh S and Lian, Bosen and Lewis, Frank L and Davoudi, Ali},
     journal = {IEEE Transactions on Control of Network Systems},
     volume = {10},
     number = {4},
     pages = {2022--2034},
     year = {2023},
     month = dec,
     publisher = {IEEE},
   }

2. 

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

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

   Automatica, Sep 2023

   Bib HTML Code

   @article{lian2023off,
     title = {Off-policy inverse Q-learning for discrete-time antagonistic unknown systems},
     author = {Lian, Bosen and Xue, Wenqian and Xie, Yijing and Lewis, Frank L and Davoudi, Ali},
     journal = {Automatica},
     volume = {155},
     pages = {111171},
     year = {2023},
     month = sep,
     publisher = {Elsevier},
   }

3. 

   Inverse reinforcement learning for adversarial apprentice games

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

   IEEE Transactions on Neural Networks and Learning Systems, Aug 2023

   Bib HTML

   @article{lian2021inverse,
     title = {Inverse reinforcement learning for adversarial apprentice games},
     author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L and Chai, Tianyou},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {34},
     number = {8},
     pages = {4596-4609},
     year = {2023},
     month = aug,
     publisher = {IEEE},
   }

4. 

   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, and Ali Davoudi

   IEEE Transactions on Cybernetics, Jul 2023

   Bib HTML

   @article{lian2022anomaly,
     title = {Anomaly detection and correction of optimizing autonomous systems with inverse reinforcement learning},
     author = {Lian, Bosen and Kartal, Yusuf and Lewis, Frank L and Mikulski, Dariusz G and Hudas, Gregory R and Wan, Yan and Davoudi, Ali},
     journal = {IEEE Transactions on Cybernetics},
     volume = {53},
     number = {7},
     pages = {4555-4566},
     year = {2023},
     month = jul,
     publisher = {IEEE},
   }

5. 

   Multi-Agent Graphical Games with Inverse Reinforcement Learning

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

   IEEE Transactions on Control of Network Systems, Jun 2023

   Bib HTML

   @article{donge2022multi,
     title = {Multi-Agent Graphical Games with Inverse Reinforcement Learning},
     author = {Donge, Vrushabh S and Lian, Bosen and Lewis, Frank L and Davoudi, Ali},
     journal = {IEEE Transactions on Control of Network Systems},
     volume = {10},
     number = {2},
     pages = {841-852},
     year = {2023},
     month = jun,
     publisher = {IEEE},
   }

6. 

   Inverse reinforcement Q-learning through expert imitation for discrete-time systems

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

   IEEE Transactions on Neural Networks and Learning Systems, May 2023

   Bib HTML Code

   @article{xue2021inverse2,
     title = {Inverse reinforcement Q-learning through expert imitation for discrete-time systems},
     author = {Xue, Wenqian and Lian, Bosen and Fan, Jialu and Kolaric, Patrik and Chai, Tianyou and Lewis, Frank L},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {34},
     number = {5},
     pages = {2386-2399},
     year = {2023},
     month = may,
     publisher = {IEEE},
   }

2022

1. 

   Robust inverse Q-learning for continuous-time linear systems in adversarial environments

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

   IEEE Transactions on Cybernetics, Dec 2022

   Bib HTML

   @article{lian2021robust,
     title = {Robust inverse Q-learning for continuous-time linear systems in adversarial environments},
     author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L and Chai, Tianyou},
     journal = {IEEE Transactions on Cybernetics},
     volume = {52},
     number = {12},
     pages = {13083--13095},
     year = {2022},
     month = dec,
     publisher = {IEEE},
   }

2. 

   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, and Tianyou Chai

   IEEE Transactions on Control of Network Systems, Dec 2022

   Bib HTML

   @article{lian2022online,
     title = {Online learning of minmax solutions for distributed estimation and tracking control of sensor networks in graphical games},
     author = {Lian, Bosen and Lewis, Frank L and Hewer, Gary A and Estabridis, Katia and Chai, Tianyou},
     journal = {IEEE Transactions on Control of Network Systems},
     volume = {9},
     number = {4},
     pages = {1923--1936},
     year = {2022},
     month = dec,
     publisher = {IEEE},
   }

3. 

   Inverse Reinforcement Learning Control for Linear Multiplayer Games

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

   In 2022 IEEE 61st Conference on Decision and Control (CDC), Dec 2022

   Bib HTML

   @inproceedings{lian2022inverse2,
     title = {Inverse Reinforcement Learning Control for Linear Multiplayer Games},
     author = {Lian, Bosen and Donge, Vrushabh S and Lewis, Frank L and Chai, Tianyou and Davoudi, Ali},
     booktitle = {2022 IEEE 61st Conference on Decision and Control (CDC)},
     pages = {2839--2844},
     year = {2022},
     month = dec,
     publisher = {IEEE},
   }

4. 

   Robustness analysis of distributed Kalman filter for estimation in sensor networks

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

   IEEE Transactions on Cybernetics, Nov 2022

   Bib HTML

   @article{lian2021robustness,
     title = {Robustness analysis of distributed Kalman filter for estimation in sensor networks},
     author = {Lian, Bosen and Lewis, Frank L and Hewer, Gary A and Estabridis, Katia and Chai, Tianyou},
     journal = {IEEE Transactions on Cybernetics},
     volume = {52},
     number = {11},
     pages = {12479--12490},
     year = {2022},
     month = nov,
     publisher = {IEEE},
   }

5. 

   Inverse reinforcement learning for multi-player noncooperative apprentice games

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

   Automatica, Nov 2022

   Bib HTML

   @article{lian2022inverse,
     title = {Inverse reinforcement learning for multi-player noncooperative apprentice games},
     author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L and Chai, Tianyou},
     journal = {Automatica},
     volume = {145},
     pages = {110524},
     year = {2022},
     month = nov,
     publisher = {Elsevier},
   }

6. 

   Inverse reinforcement learning in tracking control based on inverse optimal control

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

   IEEE Transactions on Cybernetics, Oct 2022

   Bib HTML Code

   @article{xue2021inverse,
     title = {Inverse reinforcement learning in tracking control based on inverse optimal control},
     author = {Xue, Wenqian and Kolaric, Patrik and Fan, Jialu and Lian, Bosen and Chai, Tianyou and Lewis, Frank L},
     journal = {IEEE Transactions on Cybernetics},
     volume = {52},
     number = {10},
     pages = {10570--10581},
     year = {2022},
     month = oct,
     publisher = {IEEE},
   }

7. 

   Distributed Kalman consensus filter for estimation with moving targets

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

   IEEE Transactions on Cybernetics, Jun 2022

   Bib HTML

   @article{lian2020distributed,
     title = {Distributed Kalman consensus filter for estimation with moving targets},
     author = {Lian, Bosen and Wan, Yan and Zhang, Ya and Liu, Mushuang and Lewis, Frank L and Chai, Tianyou},
     journal = {IEEE Transactions on Cybernetics},
     volume = {52},
     number = {6},
     pages = {5242--5254},
     year = {2022},
     month = jun,
     publisher = {IEEE},
   }

8. 

   Directed graph clustering algorithms, topology, and weak links

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

   IEEE Transactions on Systems, Man, and Cybernetics: Systems, Jun 2022

   Bib HTML

   @article{zhang2021directed,
     title = {Directed graph clustering algorithms, topology, and weak links},
     author = {Zhang, Xiao and Lian, Bosen and Lewis, Frank L and Wan, Yan and Cheng, Daizhan},
     journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
     volume = {52},
     number = {6},
     pages = {3995--4009},
     year = {2022},
     month = jun,
     publisher = {IEEE},
   }

2021

1. 

   Inverse reinforcement learning for multi-player apprentice games in continuous-time nonlinear systems

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

   In 2021 60th IEEE Conference on Decision and Control (CDC), Dec 2021

   Bib HTML

   @inproceedings{lian2021inverse2,
     title = {Inverse reinforcement learning for multi-player apprentice games in continuous-time nonlinear systems},
     author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L and Chai, Tianyou and Davoudi, Ali},
     booktitle = {2021 60th IEEE Conference on Decision and Control (CDC)},
     pages = {803--808},
     year = {2021},
     month = dec,
     publisher = {IEEE},
     organization = {IEEE},
   }

2. 

   Online inverse reinforcement learning for nonlinear systems with adversarial attacks

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

   International Journal of Robust and Nonlinear Control, Jun 2021

   Bib HTML

   @article{lian2021online,
     title = {Online inverse reinforcement learning for nonlinear systems with adversarial attacks},
     author = {Lian, Bosen and Xue, Wenqian and Lewis, Frank L and Chai, Tianyou},
     journal = {International Journal of Robust and Nonlinear Control},
     volume = {31},
     number = {14},
     pages = {6646--6667},
     year = {2021},
     month = jun,
     publisher = {Wiley Online Library},
   }

2019

1. 

   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, and 2 more authors

   In 2019 IEEE 58th Conference on Decision and Control (CDC), Dec 2019

   Bib HTML

   @inproceedings{lian2019distributed,
     title = {Distributed consensus-based Kalman filtering for estimation with multiple moving targets},
     author = {Lian, Bosen and Wan, Yan and Zhang, Ya and Liu, Mushuang and Lewis, Frank L and Abad, Alexandra and Setter, Tina and Short, Dunham and Chai, Tianyou},
     booktitle = {2019 IEEE 58th Conference on Decision and Control (CDC)},
     pages = {3910--3915},
     year = {2019},
     month = dec,
     publisher = {IEEE},
   }

2018

1. 

   Integrated sliding mode control and neural networks based packet disordering prediction for nonlinear networked control systems

   Bosen Lian, Qingling Zhang, and Jinna Li

   IEEE Transactions on Neural Networks and Learning Systems, Dec 2018

   Bib HTML

   @article{lian2018integrated,
     title = {Integrated sliding mode control and neural networks based packet disordering prediction for nonlinear networked control systems},
     author = {Lian, Bosen and Zhang, Qingling and Li, Jinna},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {30},
     number = {8},
     pages = {2324--2335},
     year = {2018},
     month = dec,
     publisher = {IEEE},
   }

2. 

   Sliding mode control and sampling rate strategy for Networked control systems with packet disordering via Markov chain prediction

   Bosen Lian, Qingling Zhang, and Jinna Li

   ISA transactions, Nov 2018

   Bib HTML

   @article{lian2018sliding,
     title = {Sliding mode control and sampling rate strategy for Networked control systems with packet disordering via Markov chain prediction},
     author = {Lian, Bosen and Zhang, Qingling and Li, Jinna},
     journal = {ISA transactions},
     volume = {83},
     pages = {1--12},
     year = {2018},
     month = nov,
     publisher = {Elsevier},
   }