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ORCIDShengling Shi
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2020 – today
- 2024
[j8]Kanghui He, Shengling Shi, Ton J. J. van den Boom, Bart De Schutter:
Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach. Autom. 160: 111456 (2024)- [c4]Archith Athrey, Othmane Mazhar, Meichen Guo
, Bart De Schutter, Shengling Shi:
Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration. ECC 2024: 1795-1801 - [c3]Shengling Shi, Zhiyong Sun, Bart De Schutter:
A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables. ECC 2024: 2927-2933 - [i13]Paul M. J. Van den Hof, Shengling Shi, Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Håkan Hjalmarsson, Arne G. Dankers:
Data-informativity conditions for structured linear systems with implications for dynamic networks. CoRR abs/2409.03883 (2024) - [i12]Changrui Liu, Shengling Shi, Bart De Schutter:
Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond. CoRR abs/2412.10625 (2024) - 2023
- [j7]Shengling Shi, Othmane Mazhar, Bart De Schutter:
Finite-Sample Analysis of Identification of Switched Linear Systems With Arbitrary or Restricted Switching. IEEE Control. Syst. Lett. 7: 121-126 (2023) - [j6]Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Single Module Identifiability in Linear Dynamic Networks With Partial Excitation and Measurement. IEEE Trans. Autom. Control. 68(1): 285-300 (2023) - [j5]Xiaodong Cheng, Shengling Shi, Ioannis Lestas, Paul M. J. Van den Hof:
A Necessary Condition for Network Identifiability With Partial Excitation and Measurement. IEEE Trans. Autom. Control. 68(11): 6820-6827 (2023) - [i11]Shengling Shi, Anastasios Tsiamis, Bart De Schutter:
Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control. CoRR abs/2301.07876 (2023) - [i10]Kanghui He, Shengling Shi, Ton J. J. van den Boom, Bart De Schutter:
Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees. CoRR abs/2306.15723 (2023) - [i9]Shengling Shi, Zhiyong Sun, Bart De Schutter:
A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables. CoRR abs/2310.15937 (2023) - [i8]Archith Athrey, Othmane Mazhar, Meichen Guo, Bart De Schutter, Shengling Shi:
Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration. CoRR abs/2311.02679 (2023) - [i7]Kanghui He, Shengling Shi, Ton J. J. van den Boom, Bart De Schutter:
State-action control barrier functions: Imposing safety on learning-based control with low online computational costs. CoRR abs/2312.11255 (2023) - 2022
- [j4]Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Generic identifiability of subnetworks in a linear dynamic network: The full measurement case. Autom. 137: 110093 (2022) - [j3]H. J. Dreef, Shengling Shi, Xiaodong Cheng, M. C. F. Donkers, Paul M. J. Van den Hof:
Excitation Allocation for Generic Identifiability of Linear Dynamic Networks With Fixed Modules. IEEE Control. Syst. Lett. 6: 2587-2592 (2022) - [j2]Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof:
Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks. IEEE Trans. Autom. Control. 67(2): 692-705 (2022) - [i6]H. J. Dreef, Shengling Shi, Xiaodong Cheng, M. C. F. Donkers, Paul M. J. Van den Hof:
Excitation allocation for generic identifiability of linear dynamic networks with fixed modules. CoRR abs/2201.09095 (2022) - [i5]Shengling Shi, Othmane Mazhar, Bart De Schutter:
Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching. CoRR abs/2203.09862 (2022) - 2020
- [j1]Rik J. C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M. J. Van den Hof:
A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect. Comput. Biol. Medicine 127: 104055 (2020) - [i4]Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Generic identifiability of subnetworks in a linear dynamic network: the full measurement case. CoRR abs/2008.01495 (2020) - [i3]Rik J. C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M. J. Van den Hof:
A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect. CoRR abs/2010.07801 (2020) - [i2]Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Single module identifiability in linear dynamic networks with partial excitation and measurement. CoRR abs/2012.11414 (2020)
2010 – 2019
- 2019
- [c2]Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof:
Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks. CDC 2019: 5507-5512 - [c1]Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof:
Bayesian topology identification of linear dynamic networks. ECC 2019: 2814-2819 - [i1]Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof:
Bayesian topology identification of linear dynamic networks. CoRR abs/1903.06205 (2019)
Coauthor Index
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