| Ensemble Observability of Linear Systems S Zeng, S Waldherr, C Ebenbauer, F Allgöwer IEEE Transactions on Automatic Control 61 (6), 1452-1465, 2016 | 51 | 2016 |
| Exploring edge computing for multitier industrial control Y Ma, C Lu, B Sinopoli, S Zeng IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 37 | 2020 |
| A moment-based approach to ensemble controllability of linear systems S Zeng, F Allgoewer Systems & Control Letters 98, 49-56, 2016 | 35 | 2016 |
| Sampled observability and state estimation of linear discrete ensembles S Zeng, H Ishii, F Allgöwer IEEE Transactions on Automatic Control 62 (5), 2406-2418, 2016 | 29 | 2016 |
| Ensemble Controllability of Cellular Oscillators K Kuritz, S Zeng, F Allgöwer IEEE Control Systems Letters 3 (2), 296-301, 2019 | 24 | 2019 |
| An inverse problem of tomographic type in population dynamics S Zeng, S Waldherr, F Allgöwer 53rd IEEE Conference on Decision and Control, Los Angeles, CA, USA, 2014, 2014 | 18 | 2014 |
| Structured optimal feedback in multi-agent systems: A static output feedback perspective S Zeng, F Allgöwer Automatica 76, 214-221, 2017 | 17 | 2017 |
| Consensus-based distributed Kalman-Bucy filter for continuous-time systems J Wu, A Elser, S Zeng, F Allgöwer IFAC-PapersOnLine 49 (22), 321-326, 2016 | 17 | 2016 |
| Iterative optimal control syntheses illustrated on the Brockett integrator S Zeng IFAC-PapersOnLine 52 (16), 138-143, 2019 | 16 | 2019 |
| Sampling-based nonlinear MPC of neural network dynamics with application to autonomous vehicle motion planning I Askari, B Badnava, T Woodruff, S Zeng, H Fang 2022 American Control Conference (ACC), 2084-2090, 2022 | 13 | 2022 |
| On the ensemble observability problem for nonlinear systems S Zeng, F Allgöwer 2015 54th IEEE Conference on Decision and Control (CDC), 6318-6323, 2015 | 12 | 2015 |
| Iterative optimal control syntheses for nonlinear systems in constrained environments M Vu, S Zeng 2020 American control conference (ACC), 1731-1736, 2020 | 10 | 2020 |
| Identifiability of population models via a measure theoretical approach S Waldherr, S Zeng, F Allgöwer IFAC Proceedings Volumes 47 (3), 1717-1722, 2014 | 10 | 2014 |
| Observability measures for nonlinear systems S Zeng 2018 IEEE Conference on Decision and Control (CDC), 4668-4673, 2018 | 9 | 2018 |
| On the computation of control inputs for linear ensembles S Zeng, W Zhang, JS Li 2018 Annual American Control Conference (ACC), 6101-6107, 2018 | 9 | 2018 |
| A general sampled observability result and its applications S Zeng, F Allgöwer 2016 IEEE 55th Conference on Decision and Control (CDC), 3997-4002, 2016 | 9 | 2016 |
| Nonlinear model predictive control based on constraint-aware particle filtering/smoothing I Askari, S Zeng, H Fang 2021 American Control Conference (ACC), 3532-3537, 2021 | 8 | 2021 |
| Explicit input signal design for stable linear ensemble systems L Tie, W Zhang, S Zeng, JS Li IFAC-PapersOnLine 50 (1), 3051-3056, 2017 | 8 | 2017 |
| On the Ensemble Observability of Dynamical Systems S Zeng, F Allgöwer Proceedings of the 22nd International Symposium on Mathematical Theory of …, 2016 | 8 | 2016 |
| Ensemble observability of dynamical systems SS Zeng Ph.D. dissertation, Logos Verlag Berlin, 2016 | 8 | 2016 |
