My research is at the intersection of artificial intelligence (AI) and optimal control, with applications to biological and bio-inspired systems. My group works on both novel modeling and control methodologies, theories, and healthcare-related applications. We aim to use these advances to reveal fundamental principles governing natural systems while enabling the design and control of bio-inspired engineering systems.
Application:
Human motion digital twin for rehablitation
Control of bio-inspired robots
Learning and control of cell biology
Theory & Method:
AI for control, by utilizing reinforcement learning and generative models
Learning-based control with performance and safety guarantees
Learning dynamical systems
Mar. 2026 We presented our preliminary results for the human motion digital twin at the Benelux Meetings on Systems and Control 2026.
Mar. 2026 Delft Center for Systems and Control (DCSC) is launching a monthly online seminar series, hosting national and international speakers in systems and control. The recordings will be shared with the public in due time.
We are delighted to welcome the following speakers before summer:
March 11: Prof. Leilei Cui, University of New Mexico
April 8: Prof. Sungho Shin, MIT
May 6: Prof. Dinesh Krishnamoorthy, NTNU
June 3: Prof. Lars Lindemann, ETH Zurich
Jan. 2026 Kanghui He (PhD student at DCSC, co-advised with Prof. Bart De Schutter and Prof. Ton van den Boom ) has successfully defended his doctoral thesis! Congratulations!
Dec. 2025 Changrui Liu (PhD student at Delft) will present his work on learning-based control at CDC 2025, Brazil. The work is titled "On the Regret of Model Predictive Control With Imperfect Inputs" and published in IEEE Control Systems Letters: Link to IEEE
Nov. 2025 Our IEEE TAC paper on safe learning control and control barrier function is now online (early access): Link to IEEE, which was led by Kanghui He, PhD student at Delft.
Oct. 2025: I attended the IROS 2025 conference in Hangzhou, China.
Sep. 2025: Our new preprint "Bang-Ride Optimal Control: Monotonicity, External Positivity, and Fast Battery Charging" is now on ArXiv and is submitted to IEEE TAC, a wonderful collaboration with colleagues from MIT, Stanford, and TU Darmstadt!
Sep. 2025: Our new IEEE TAC paper "Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control" is now online!
Aug. 2025: Kelvin Toonen (MSc from TU/e) has started as a PhD student in my group, working on learning and control for human digital twin
Aug. 2025: I have started as an Assistant Professor at TU Delft!
Mar. 2024: I have joined MIT as a PostDoc, working on optimal control for large-scale nonlinear systems