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Shengling Shi
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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
182020
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
162020
On distributed model predictive control for vehicle platooning with a recursive feasibility guarantee
S Shi, M Lazar
IFAC-PapersOnLine 50 (1), 7193-7198, 2017
162017
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
112023
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
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
32022
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
A recursively feasible distributed robust MPC algorithm for vehicle platooning
S Shi, M Lazar
IFAC-PapersOnLine 51 (23), 112-117, 2018
22018
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
Decentralized and distributed model predictive control of vehicle platoons
S Shi, M Lazar, PMJ Van den Hof, T Hofman
Master’s thesis, Eindhoven University of Technology, 2017
12017
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