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<title>Publications</title>
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<div class="menu-category">Main</div>
<div class="menu-item"><a href="index.html">Home</a></div>
<div class="menu-item"><a href="publication.html" class="current">Publications</a></div>
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<h1>Publications</h1>
</div>
<h2>Papers Submitted</h2>
<p><i>Reinforcement-Learning-Based Risk-Sensitive Optimal Feedback Mechanisms of Biological Motor Control.</i><br />
Leilei Cui, <b>Bo Pang</b>, Zhong-Ping Jiang.<br />
2023 IEEE 62nd Conference on Decision and Control (CDC2023), Under Review.</p>
<p><i>Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach.</i><br />
Leilei Cui, <b>Bo Pang</b>, Zhong-Ping Jiang.<br />
IEEE Transactions on Automatic Control, Under Review. [<a href="https://arxiv.org/pdf/2210.00204.pdf">Preprint</a>]</p>
<p><i>Learning-Based Adaptive Optimal Control of Mixed-Traffic Connected Vehicles.</i><br />
Tong Liu, Leilei Cui, <b>Bo Pang</b>, Zhong-Ping Jiang.<br />
IEEE Transactions on Intelligent Transportation Systems, Under Review.</p>
<h2>Book Chapters</h2>
<p><i>Robust Reinforcement Learning for Stochastic Linear Quadratic Control with Multiplicative Noise.</i> [<a href="https://www.springer.com/gp/book/9783030746278">Link</a>]<br />
<b>Bo Pang</b>, Zhong-Ping Jiang.<br />
Book chapter in Trends in Nonlinear and Adaptive Control: A Tribute to <a href="https://cas.mines-paristech.fr/~praly/">Laurent Praly</a> for his 65th birthday, Springer, 2021.</p>
<h2>Journal Papers</h2>
<p><i>Reinforcement Learning for Optimal Stationary Control of Linear Stochastic Systems.</i> [<a href="https://ieeexplore.ieee.org/abstract/document/9767669">Link</a>] [<a href="https://github.com/bo-pang/OLSbPI">Code</a>]<br />
<b>Bo Pang</b>, Zhong-Ping Jiang.<br />
IEEE Transactions on Automatic Control, Accepted, 2022.</p>
<p><i>Human Motor Learning is Robust to Control-Dependent Noise.</i> [<a href="https://link.springer.com/article/10.1007/s00422-022-00922-z">Link</a>]
[<a href="https://github.com/bo-pang/Sensorimotor_Control">Code</a>]<br />
<b>Bo Pang</b>, Leilei Cui and Zhong-Ping Jiang.<br />
Biological Cybernetics, 2022. <font color=red><b>Dr. Li Annual ECE Publication Award @ NYU.</b></font></p>
<p><i>Robust Policy Iteration for Continuous-time Linear Quadratic Regulation.</i> [<a href="https://ieeexplore.ieee.org/document/9444823">Link</a>]<br />
<b>Bo Pang</b>, Tao Bian, Zhong-Ping Jiang.<br />
IEEE Transactions on Automatic Control, Early Access, 2021.</p>
<p><i>Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach.</i> [<a href="https://doi.org/10.1109/TAC.2020.2987313">Link</a>]
[<a href="https://github.com/bo-pang/periodic_value_iteration/">Code</a>]<br />
<b>Bo Pang</b>, Zhong-Ping Jiang.<br />
IEEE Transactions on Automatic Control, Vol. 66, No. 2, pp. 888–894, 2021</p>
<p><i>Reinforcement Learning for Adaptive Control of Continuous-time Linear Periodic Systems.</i> [<a href="https://doi.org/10.1016/j.automatica.2020.109035">Link</a>]<br />
<b>Bo Pang</b>, Zhong-Ping Jiang, Iven Mareels.<br />
Automatica, Vol. 118, 2020</p>
<p><i>Adaptive Dynamic Programming for Finite-horizon Optimal Control of Linear Time-varying Discrete-time Systems.</i> [<a href="https://doi.org/10.1007/s11768-019-8168-8">Link</a>][<a href="https://github.com/bo-pang/time_varying_ADP/">Code</a>]<br />
<b>Bo Pang</b>, Tao Bian, Zhong-Ping Jiang.<br />
Control Theory and Technology, Vol. 17, No. 1, pp. 73–84, 2019. <font color=red><b>2020 Best Paper Award.</b></font></p>
<p><i>ThermalNet: A Deep Reinforcement Learning-based Combustion Optimization System for Coal-fired Boiler.</i> [<a href="https://doi.org/10.1016/j.engappai.2018.07.003">Link</a>]<br />
Yin Cheng, Yuexin Huang, <b>Bo Pang</b>, Weidong Zhang.<br />
Engineering Applicaitons of Artificial Intelligence, Vol. 74, pp. 303–311, 2018</p>
<p><i>LMI Relaxations for Quadratic Stabilization of Guaranteed Cost Control of T–S Fuzzy Systems.</i> [<a href="https://doi.org/10.1007/s40815-016-0268-8">Link</a>]<br />
<b>Bo Pang</b>, Yunze Cai, Weidong Zhang.<br />
International Journal of Fuzzy Systems, Vol. 19, No. 5, pp. 1392–1405, 2017</p>
<p><i>Exponentially Stable Guaranteed Cost Control for Continuous and Discrete-time Takagi–Sugeno Fuzzy Systems.</i> [<a href="https://doi.org/10.1016/j.neucom.2016.04.041">Link</a>]<br />
<b>Bo Pang</b>, Xiaocheng Liu, Qibing Jin, Weidong Zhang.<br />
Neurocomputing, Vol. 205, pp. 210–221, 2016</p>
<h2>Conference Papers</h2>
<p><i>Learning Adaptive Optimal Controllers for Linear Time-Delay Systems.</i><br />
Leilei Cui, <b>Bo Pang</b> and Zhong-Ping Jiang.<br />
2023 American Control Conference (ACC2023), San Diego, CA, USA, Accepted, 2023. </p>
<p><i>A Value Iteration Approach to Adaptive Optimal Control of Linear Time-Delay Systems.</i><br />
Leilei Cui, <b>Bo Pang</b> and Zhong-Ping Jiang.<br />
2023 22nd IFAC World Congress (IFAC2023), Yokohama, Japan, Accepted, 2023.</p>
<p><i>Data-Driven Adaptive Optimal Control of Mixed-Traffic Connected Vehicles in a Ring Road.</i> [<a href="https://ieeexplore.ieee.org/abstract/document/9683024?casa_token=hKghBRNzlmUAAAAA:tOu--2y-0jRwcrMkepeN6IpsAghcIbyKjRvq20hAdX5UEbogDeBXCG8lhEoXfB51aJIZ2CPDkik">Link</a>]<br />
Tong Liu, Leilei Cui, <b>Bo Pang</b>, Zhong-Ping Jiang.<br />
2021 IEEE 60th Conference on Decision and Control (CDC2021), pp. 77-82, Austin, TX, USA.</p>
<p><i>Learning-Based Control of Multiple Connected Vehicles in the Mixed Traffic by Adaptive Dynamic Programming.</i> [<a href="https://www.sciencedirect.com/science/article/pii/S2405896321017882">Link</a>]<br />
Tong Liu, Leilei Cui, <b>Bo Pang</b>, Zhong-Ping Jiang.<br />
2021 3rd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON2021), Vol. 54, no. 14, pp. 370-375.</p>
<p><i>Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation.</i> [<a href="https://ojs.aaai.org/index.php/AAAI/article/view/17122">Link</a>] [<a href="https://github.com/bo-pang/O-LSPI/">Code</a>]<br />
<b>Bo Pang</b>, Zhong-Ping Jiang.<br />
2021 35th AAAI Conference on Artificial Intelligence (AAAI2021), pp. 9303-9311, A Virtual Conference.</p>
<p><i>A Data-driven Approach for Constrained Infinite-Horizon Linear Quadratic Regulation.</i> [<a href="https://doi.org/10.1109/CDC42340.2020.9304046">Link</a>]
[<a href="https://github.com/bo-pang/constrained_LQR">Code</a>]<br />
<b>Bo Pang</b>, Zhong-Ping Jiang.<br />
2020 IEEE 59th Conference on Decision and Control (CDC2020), pp. 6010-6015, Jeju Island, Republic of Korea.</p>
<p><i>Reinforcement Learning for Adaptive Periodic Linear Quadratic Control.</i> [<a href="https://doi.org/10.1109/CDC40024.2019.9030252">Link</a>]<br />
<b>Bo Pang</b>, Zhong-Ping Jiang, Iven Mareels.<br />
2019 IEEE 58th Conference on Decision and Control (CDC2019), pp. 3322–3327, Nice, France.</p>
<p><i>Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems.</i> [<a href="https://doi.org/10.1109/CDC.2018.8619347">Link</a>]
[<a href="https://github.com/bo-pang/time_varying_ADP/">Code</a>]<br />
<b>Bo Pang</b>, Tao Bian, Zhong-Ping Jiang.<br />
2018 IEEE 57th Conference on Decision and Control (CDC2018), pp. 861–866, Miami Beach, FL, USA.</p>
<p><i>Output Tracking of Boiler-turbine System by Fuzzy Guaranteed Cost Control.</i> [<a href="https://doi.org/10.1109/ChiCC.2016.7553933">Link</a>]<br />
<b>Bo Pang</b>, Yadong Zhao, Bowen Yi, Liyue Chen, Weidong Zhang.<br />
2016 35th Chinese Control Conference (CCC2016), pp. 3721–3726, Chengdu, China.</p>
<p><i>Finite-time Distributed Observers for Position and Velocity Estimation in Vehicle Formations.</i> [<a href="https://doi.org/10.1109/ChiCC.2016.7554561">Link</a>]<br />
Yadong Zhao, <b>Bo Pang</b>, Fei Ye, Weidong Zhang.<br />
2016 35th Chinese Control Conference (CCC2016), pp. 7598–7603, Chengdu, China.</p>
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