Allocation of excitation signals for generic identifiability of linear dynamic networks X Cheng, S Shi, PMJ Van den Hof IEEE Transactions on Automatic Control 67 (2), 692-705, 2021 | 30 | 2021 |
Generic identifiability of subnetworks in a linear dynamic network: the full measurement case S Shi, X Cheng, PMJ Van den Hof Automatica 137, 110093, 2022 | 23 | 2022 |
Allocation of excitation signals for generic identifiability of dynamic networks X Cheng, S Shi, PMJ Van den Hof 2019 IEEE 58th Conference on Decision and Control (CDC), 5507-5512, 2019 | 22 | 2019 |
Bayesian topology identification of linear dynamic networks S Shi, G Bottegal, PMJ Van den Hof 2019 18th European Control Conference (ECC), 2814-2819, 2019 | 22 | 2019 |
Single module identifiability in linear dynamic networks with partial excitation and measurement S Shi, X Cheng, PMJ Van den Hof IEEE Transactions on Automatic Control, 2021 | 21 | 2021 |
Excitation allocation for generic identifiability of a single module in dynamic networks: A graphic approach S Shi, X Cheng, PMJ Van den Hof IFAC-PapersOnLine 53 (2), 40-45, 2020 | 17 | 2020 |
A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect RJC van Esch, S Shi, A Bernas, S Zinger, AP Aldenkamp, ... Computers in Biology and Medicine 127, 104055, 2020 | 15 | 2020 |
A necessary condition for network identifiability with partial excitation and measurement X Cheng, S Shi, I Lestas, PMJ Van den Hof IEEE Transactions on Automatic Control, 2023 | 10 | 2023 |
Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching S Shi, O Mazhar, B De Schutter IEEE Control Systems Letters 7, 121-126, 2022 | 4 | 2022 |
Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach K He, S Shi, T van den Boom, B De Schutter Automatica 160, 111456, 2024 | 3 | 2024 |
Signal selection for local module identification in linear dynamic networks: A graphical approach S Shi, X Cheng, B De Schutter, PMJ Van den Hof IFAC-PapersOnLine 56 (2), 2407-2412, 2023 | 2 | 2023 |
Excitation allocation for generic identifiability of linear dynamic networks with fixed modules HJ Dreef, S Shi, X Cheng, MCF Donkers, PMJ Van den Hof IEEE Control Systems Letters 6, 2587-2592, 2022 | 2 | 2022 |
Identifiability in Dynamic Acyclic Networks with Partial Excitations and Measurements X Cheng, S Shi, I Lestas, PMJ Van den Hof arXiv preprint arXiv:2201.07548, 2022 | 2 | 2022 |
Regret analysis of learning-based linear quadratic gaussian control with additive exploration A Athrey, O Mazhar, M Guo, B De Schutter, S Shi arXiv preprint arXiv:2311.02679, 2023 | 1 | 2023 |
Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees K He, S Shi, T Boom, B De Schutter arXiv preprint arXiv:2306.15723, 2023 | 1 | 2023 |
Topological Aspects of Linear Dynamic Networks: Identifiability and Identification S Shi PhD thesis, Eindhoven University of Technology, 2021 | 1 | 2021 |
Supplementary material for``Generic identifiability of subnetworks in a linear dynamic network: the full measurement case S Shi, X Cheng, PMJ Van den Hof Eindhoven University of Technology, 2021 | 1 | 2021 |
SYSDYNET-A MATLAB App and Toolbox for Dynamic Network Identification⋆,⋆ PMJ Van den Hof, S Shi, HHM Weerts, X Cheng, KR Ramaswamy, ... Symposium on System Identification (SYSID2024), 2024 | | 2024 |
State-action control barrier functions: Imposing safety on learning-based control with low online computational costs K He, S Shi, T Boom, B De Schutter arXiv preprint arXiv:2312.11255, 2023 | | 2023 |
A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables S Shi, Z Sun, B De Schutter arXiv preprint arXiv:2310.15937, 2023 | | 2023 |