Shengling Shi
Title
Cited by
Cited by
Year
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
112019
Excitation allocation for generic identifiability of a single module in dynamic networks: A graphic approach
S Shi, X Cheng, PMJ Van den Hof
Proc. 21st IFAC World Congress, 2020
92020
Bayesian topology identification of linear dynamic networks
S Shi, G Bottegal, PMJ Van den Hof
2019 18th European Control Conference (ECC), 2814-2819, 2019
92019
On distributed model predictive control for vehicle platooning with a recursive feasibility guarantee
S Shi, M Lazar
IFAC-PapersOnLine 50 (1), 7193-7198, 2017
82017
Allocation of excitation signals for generic identifiability of linear dynamic networks
X Cheng, S Shi, PMJ Van den Hof
IEEE Transactions on Automatic Control, 2021
72021
Generic identifiability of subnetworks in a linear dynamic network: the full measurement case
S Shi, X Cheng, PMJ Van den Hof
arXiv preprint arXiv:2008.01495, 2020
32020
Single module identifiability in linear dynamic networks with partial excitation and measurement
S Shi, X Cheng, PMJ Van den Hof
arXiv preprint arXiv:2012.11414, 2020
12020
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
12020
Decentralized and distributed model predictive control of vehicle platoons
S Shi, M Lazar, PMJ Van den Hof, T Hofman
MasterĘs thesis, Eindhoven University of Technology, 2017
12017
A recursively feasible distributed robust MPC algorithm for vehicle platooning
S Shi, M Lazar
IFAC-PapersOnLine 51 (23), 112-117, 2018
2018
Exploiting unmeasured disturbance signals in identifiability of linear dynamic networks with partial measurement and partial excitation⋆
S Shi, X Cheng, PMJ Van den Hof
Graphical conditions for network identifiability of a single module with unmeasured input or output
S Shi, X Cheng, PMJ Van den Hof
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Articles 1–12