Shengling Shi

According to our database, Shengling Shi authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach.

Kanghui He, Shengling Shi, Ton J. J. van den Boom, Bart De Schutter

Autom., February, 2024

2023

A Necessary Condition for Network Identifiability With Partial Excitation and Measurement.

Xiaodong Cheng, Shengling Shi, Ioannis Lestas, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., November, 2023

Single Module Identifiability in Linear Dynamic Networks With Partial Excitation and Measurement.

Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., 2023

Finite-Sample Analysis of Identification of Switched Linear Systems With Arbitrary or Restricted Switching.

Shengling Shi, Othmane Mazhar, Bart De Schutter

IEEE Control. Syst. Lett., 2023

State-action control barrier functions: Imposing safety on learning-based control with low online computational costs.

Kanghui He, Shengling Shi, Ton J. J. van den Boom, Bart De Schutter

CoRR, 2023

Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration.

Archith Athrey, Othmane Mazhar, Meichen Guo, Bart De Schutter, Shengling Shi

CoRR, 2023

A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables.

Shengling Shi, Zhiyong Sun, Bart De Schutter

CoRR, 2023

Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees.

Kanghui He, Shengling Shi, Ton J. J. van den Boom, Bart De Schutter

CoRR, 2023

Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control.

Shengling Shi, Anastasios Tsiamis, Bart De Schutter

CoRR, 2023

2022

Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks.

Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., 2022

Excitation Allocation for Generic Identifiability of Linear Dynamic Networks With Fixed Modules.

H. J. Dreef, Shengling Shi, Xiaodong Cheng, M. C. F. Donkers, Paul M. J. Van den Hof

IEEE Control. Syst. Lett., 2022

Generic identifiability of subnetworks in a linear dynamic network: The full measurement case.

Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof

Autom., 2022

2020

A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect.

Rik J. C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M. J. Van den Hof

Comput. Biol. Medicine, 2020

2019

Bayesian topology identification of linear dynamic networks.

Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof

Proceedings of the 17th European Control Conference, 2019

Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks.

Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof

Proceedings of the 58th IEEE Conference on Decision and Control, 2019