Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks. - Xiaodong Cheng; Shengling Shi; Paul M. J. Van den Hof (CDC, 2019)

Bayesian topology identification of linear dynamic networks. - Shengling Shi; Giulio Bottegal; Paul M. J. Van den Hof (ECC, 2019)

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)

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)

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)

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)

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)

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)

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)

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)

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., 2023)

Efficient and Safe Learning-based Control of Piecewise Affine Systems Using Optimization-Free Safety Filters. - Kanghui He; Shengling Shi; Ton J. J. van den Boom; Bart De Schutter (CDC, 2024)

Stability and Performance Analysis of Model Predictive Control of Uncertain Linear Systems. - Changrui Liu; Shengling Shi; Bart De Schutter (CDC, 2024)

Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration. - Archith Athrey; Othmane Mazhar; Meichen Guo; Bart De Schutter; Shengling Shi (ECC, 2024)

A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables. - Shengling Shi; Zhiyong Sun; Bart De Schutter (ECC, 2024)

Data-informativity conditions for structured linear systems with implications for dynamic networks. - Paul M. J. Van den Hof; Shengling Shi; Stefanie J. M. Fonken; Karthik Raghavan Ramaswamy; Håkan Hjalmarsson; Arne G. Dankers (CoRR, 2024)

Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond. - Changrui Liu; Shengling Shi; Bart De Schutter (CoRR, 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., 2024)

On the Regret of Model Predictive Control With Imperfect Inputs. - Changrui Liu; Shengling Shi; Bart De Schutter (IEEE Control. Syst. Lett., 2025)

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 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Identifiability in Dynamic Acyclic Networks With Partial Excitation and Measurement. - Xiaodong Cheng; Shengling Shi; Ioannis Lestas; Paul M. J. Van den Hof (IEEE Trans. Autom. Control., 2025)

From learning to safety: A Direct Data-Driven Framework for Constrained Control. - Kanghui He; Shengling Shi; Ton J. J. van den Boom; Bart De Schutter (CoRR, 2025)

Robust Adaptive Discrete-Time Control Barrier Certificate. - Changrui Liu; Anil Alan; Shengling Shi; Bart De Schutter (CoRR, 2025)