Publications

Submitted Papers

• Kanghui He, Shengling Shi, Ton van den Boom, Bart De Schutter. SFrom learning to safety: A Direct Data-Driven Framework for Constrained Control, submitted to IEEE Transactions on Automatic Control.

Accepted Papers

• Google Scholar

• Kanghui He, Shengling Shi, Ton van den Boom, Bart De Schutter. State-action control barrier functions: Imposing safety on learning-based control with low online computational costs, conditionally accepted by IEEE Transactions on Automatic Control.

• Kanghui He, Shengling Shi, Ton van den Boom, Bart De Schutter. Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach, accepted by Automatica.

• Kanghui He, Shengling Shi, Ton van den Boom, Bart De Schutter. Approximate dynamic programming for constrained piecewise affine systems with stability and safety guarantees, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

• Kanghui He, Yang Deng, Guanghan Wang, Xiangyu Sun, Yiyong Sun, Zhang Chen. Learning-based trajectory tracking and balance control for bicycle robots with a pendulum: A Gaussian process approach, IEEE Transactions on Mechatronics.

• Kanghui He, Chaoyang Dong, Qing Wang, Anti-disturbance dynamic inversion backstepping control for uncertain pure-feedback systems via multiple extended state observers, Journal of the Franklin Institute.

• Kanghui He, Chaoyang Dong, Qing Wang, Active disturbance rejection control for uncertain nonlinear systems with sporadic measurements, IEEE CAA Journal of Automatica Sinica.

• Kanghui He, Chaoyang Dong, Qing Wang, Cascade integral predictors and feedback control for nonlinear systems with unknown time-varying input-delays, International Journal of Control, Automation and Systems.

• Kanghui He, Chaoyang Dong, Qing Wang, Active disturbance rejection adaptive control for uncertain nonlinear systems with unknown time‐varying dead‐zone input, Asian Journal of Control.

• Kanghui He, Shengling Shi, Ton van den Boom, Bart De Schutter. Efficient and safe learning-based control of piecewise affine systems using optimization-free safety filters, IEEE CDC 2024.

• Kanghui He, Chaoyang Dong, An Yan, Qingyuan Zheng, Bin Liang, Qing Wang, Composite deep learning control for autonomous bicycles by using deep deterministic policy gradient, IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society.

• Yue Li, Kanghui He, Mingwei Ma, et. al, Using deep learning to model the biological dose prediction on bulky lung cancer patients of partial stereotactic ablation radiotherapy, Medical Physics.

Book Chapter

• Nonlinear and Constrained Control - Applications, Synergies, Challenges and Opportunities.