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Shengling Shi
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Year
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
302021
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
232022
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
222019
Bayesian topology identification of linear dynamic networks
S Shi, G Bottegal, PMJ Van den Hof
2019 18th European Control Conference (ECC), 2814-2819, 2019
222019
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
212021
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
172020
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
152020
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
102023
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
42022
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
32024
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
22023
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
22022
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
22022
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
12023
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
12023
Topological Aspects of Linear Dynamic Networks: Identifiability and Identification
S Shi
PhD thesis, Eindhoven University of Technology, 2021
12021
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
12021
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
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