| Learning lyapunov functions for hybrid systems S Chen, M Fazlyab, M Morari, GJ Pappas, VM Preciado Proceedings of the 24th International Conference on Hybrid Systems …, 2021 | 81 | 2021 |
| Learning region of attraction for nonlinear systems S Chen, M Fazlyab, M Morari, GJ Pappas, VM Preciado 2021 60th IEEE Conference on Decision and Control (CDC), 6477-6484, 2021 | 46 | 2021 |
| Robust model predictive control with polytopic model uncertainty through system level synthesis S Chen, VM Preciado, M Morari, N Matni Automatica 162, 111431, 2024 | 32 | 2024 |
| Learning lyapunov functions for piecewise affine systems with neural network controllers S Chen, M Fazlyab, M Morari, GJ Pappas, VM Preciado arXiv preprint arXiv:2008.06546, 2020 | 26 | 2020 |
| Robust closed-loop model predictive control via system level synthesis S Chen, H Wang, M Morari, VM Preciado, N Matni 2020 59th IEEE Conference on Decision and Control (CDC), 2152-2159, 2020 | 25 | 2020 |
| Modeling and control of cathode air humidity for pem fuel cell systems Z Liu, J Chen, S Chen, L Huang, Z Shao IFAC-PapersOnLine 50 (1), 4751-4756, 2017 | 24 | 2017 |
| Differentiable safe controller design through control barrier functions S Yang, S Chen, VM Preciado, R Mangharam IEEE Control Systems Letters 7, 1207-1212, 2022 | 22 | 2022 |
| Deepsplit: Scalable verification of deep neural networks via operator splitting S Chen, E Wong, JZ Kolter, M Fazlyab IEEE Open Journal of Control Systems 1, 126-140, 2022 | 20 | 2022 |
| System level synthesis-based robust model predictive control through convex inner approximation S Chen, N Matni, M Morari, VM Preciado arXiv preprint arXiv:2111.05509, 2021 | 14 | 2021 |
| One-shot reachability analysis of neural network dynamical systems S Chen, VM Preciado, M Fazlyab 2023 IEEE International Conference on Robotics and Automation (ICRA), 10546 …, 2023 | 10 | 2023 |
| Model-based strategies for sensor fault accommodation in uncertain dynamic processes with multi-rate sampled measurements J Allen, S Chen, NH El-Farra Chemical Engineering Research and Design 142, 204-213, 2019 | 9 | 2019 |
| Robust convergence analysis of three-operator splitting H Wang, M Fazlyab, S Chen, VM Preciado 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 6 | 2019 |
| Safety filter design for neural network systems via convex optimization S Chen, KY Chee, N Matni, MA Hsieh, GJ Pappas 2023 62nd IEEE Conference on Decision and Control (CDC), 6356-6363, 2023 | 5 | 2023 |
| Verification-aided learning of neural network barrier functions with termination guarantees S Chen, L Molu, M Fazlyab 2024 American Control Conference (ACC), 3610-3617, 2024 | 4 | 2024 |
| Learning performance-oriented control barrier functions under complex safety constraints and limited actuation S Chen, M Fazlyab arXiv preprint arXiv:2401.05629, 2024 | 4 | 2024 |
| Robust model predictive control of time-delay systems through system level synthesis S Chen, NY Li, VM Preciado, N Matni 2022 IEEE 61st conference on decision and control (CDC), 6902-6909, 2022 | 3 | 2022 |
| PcLast: Discovering plannable continuous latent states A Koul, S Sujit, S Chen, B Evans, L Wu, B Xu, R Chari, R Islam, R Seraj, ... arXiv preprint arXiv:2311.03534, 2023 | 2 | 2023 |
| Safety Verification of Nonlinear Polynomial System via Occupation Measures X Chen, S Chen, VM Preciado 2019 IEEE 58th Conference on Decision and Control (CDC), 1159-1164, 2019 | 2 | 2019 |
| Safety verification of nonlinear autonomous system via occupation measures X Chen, S Chen, VM Preciado arXiv preprint arXiv:1903.05311, 2019 | 2 | 2019 |
| Domain adaptive safety filters via deep operator learning L Manda, S Chen, M Fazlyab arXiv preprint arXiv:2410.14528, 2024 | 1 | 2024 |
Victor M. PreciadoUniversity of PennsylvaniaCorreu electrònic verificat a seas.upenn.edu