CLariNet | Anil Alan

This project is part of the ERC Advanced Grant CLariNet (Control Paradigm for Large-Scale Hybrid Systems), led by Prof. Bart De Schutter at TU Delft. The project targets scalable control methods for large-scale hybrid dynamical systems with formal guarantees.

My contributions focus on developing optimization-based safety-critical control frameworks with formal constraint-satisfaction guarantees, validated in vehicle platooning applications. I am also supervising two PhD students within this project.

Key contributions:

Scalable control barrier function formulations for hybrid and nonsmooth systems
Predictive CBF schemes for discrete-time systems
Supervision of PhD students Kanghui He and Changrui Liu

References

2026

ECC

Uniform Feasibility For Smoothed Backup Control Barrier Functions

Anil Alan and Bart De Schutter

In Proceedings of the European Control Conference (ECC), 2026

Bib

@inproceedings{alan2026uniform,
  title = {Uniform Feasibility For Smoothed Backup Control Barrier Functions},
  author = {Alan, Anil and {De Schutter}, Bart},
  booktitle = {Proceedings of the European Control Conference (ECC)},
  year = {2026},
}

2025

IEEE TAC

Predictive control barrier functions for piecewise affine systems with non-smooth constraints

Kanghui He, Anil Alan, Shengling Shi, and 1 more author

IEEE Transactions on Automatic Control, 2025

under review

Bib

@article{he2024predictive,
  title = {Predictive control barrier functions for piecewise affine systems with non-smooth constraints},
  author = {He, Kanghui and Alan, Anil and Shi, Shengling and {De Schutter}, Bart},
  journal = {IEEE Transactions on Automatic Control},
  year = {2025},
  note = {under review},
}

Automatica

Robust adaptive discrete-time control barrier certificate

Changrui Liu, Anil Alan, Shengling Shi, and 1 more author

Automatica, 2025

conditionally accepted

Bib

@article{liu2024robust,
  title = {Robust adaptive discrete-time control barrier certificate},
  author = {Liu, Changrui and Alan, Anil and Shi, Shengling and {De Schutter}, Bart},
  journal = {Automatica},
  year = {2025},
  note = {conditionally accepted},
}