Shengling Shi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Model Averaging

Receding Horizon

Temporal Evolution

Top Venues

IEEE Trans. Autom. Control.

IEEE Control. Syst. Lett.

Publications

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)
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 (2024)
Shengling Shi, Zhiyong Sun, Bart De Schutter
A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables. ECC (2024)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
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 (2023)
Shengling Shi, Zhiyong Sun, Bart De Schutter
A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables. CoRR (2023)
Archith Athrey, Othmane Mazhar, Meichen Guo, Bart De Schutter, Shengling Shi
Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration. CoRR (2023)
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 (2023)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
Shengling Shi, Othmane Mazhar, Bart De Schutter
Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching. CoRR (2022)
Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof
Single module identifiability in linear dynamic networks with partial excitation and measurement. CoRR (2020)
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 (2020)
Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof
Generic identifiability of subnetworks in a linear dynamic network: the full measurement case. CoRR (2020)
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 (2020)
Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Bayesian topology identification of linear dynamic networks. ECC (2019)
Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Bayesian topology identification of linear dynamic networks. CoRR (2019)
Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof
Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks. CDC (2019)