Publications | Shengling Shi

Journal articles

2026 · Learning-Based Control
Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond
C. Liu, S. Shi, and B. De Schutter
IEEE Transactions on Automatic Control, 71(7), 4649–4664, 2026.
IEEE arXiv
2026 · Learning-Based Control
State-action control barrier functions: Imposing safety on learning-based control with low online computational costs
K. He, S. Shi, T. van den Boom, and B. De Schutter
IEEE Transactions on Automatic Control, 71(5), 3365–3371, 2026.
IEEE arXiv
2026 · Learning-Based Control
Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control
S. Shi, A. Tsiamis, and B. De Schutter
IEEE Transactions on Automatic Control, 71(3), 1422–1437, 2026.
IEEE arXiv
2026 · Learning Dynamical Systems
Data-informativity conditions for structured linear systems with implications for dynamic networks
P. M. J. Van den Hof, S. Shi, S. Fonken, K. R. Ramaswamy, H. Hjalmarsson, and A. Dankers
Automatica, 191, 113110, 2026.
Elsevier
2025 · Learning-Based Control
On the Regret of Model Predictive Control with Imperfect Inputs
C. Liu, S. Shi, and B. De Schutter
IEEE Control Systems Letters, 2025.
IEEE
2025 · Learning Dynamical Systems
Identifiability in dynamic acyclic networks with partial excitations and measurements
X. Cheng, S. Shi, I. Lestas, and P. M. J. Van den Hof
IEEE Transactions on Automatic Control, 2025.
IEEE arXiv
2024 · Learning-Based Control
Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach
K. He, S. Shi, T. van den Boom, and B. De Schutter
Automatica, 2024.
Elsevier
2024 · Learning-Based Control
Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees
K. He, S. Shi, T. van den Boom, and B. De Schutter
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024.
IEEE arXiv
2023 · Learning Dynamical Systems
Single module identifiability in linear dynamic networks with partial excitation and measurement
S. Shi, X. Cheng, and P. M. J. Van den Hof
IEEE Transactions on Automatic Control, 2023.
IEEE arXiv
2023 · Learning Dynamical Systems
A necessary condition for network identifiability with partial excitation and measurement
X. Cheng, S. Shi, I. Lestas, and P. M. J. Van den Hof
IEEE Transactions on Automatic Control, 2023.
IEEE arXiv
2022 · Learning Dynamical Systems
Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching
S. Shi, O. Mazhar, and B. De Schutter
IEEE Control Systems Letters, 2022.
IEEE
2022 · Learning Dynamical Systems
Generic identifiability of subnetworks in a linear dynamic network: the full measurement case
S. Shi, X. Cheng, and P. M. J. Van den Hof
Automatica, 2022.
Elsevier arXiv
2022 · Learning Dynamical Systems
Excitation allocation for generic identifiability of linear dynamic networks with fixed modules
H. J. Dreef, S. Shi, X. Cheng, M. C. F. Donkers, and P. M. J. Van den Hof
IEEE Control Systems Letters, 2022.
IEEE
2022 · Learning Dynamical Systems
Allocation of excitation signals for generic identifiability of linear dynamic networks
X. Cheng, S. Shi, I. Lestas, and P. M. J. Van den Hof
IEEE Transactions on Automatic Control, 2022.
IEEE arXiv
2020 · Learning Dynamical Systems
A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect
R. J. C. van Esch, S. Shi*, A. Bernas, S. Zinger, A. P. Aldenkamp, and P. M. J. Van den Hof
Computers in Biology and Medicine, 2020. *Corresponding author.
Elsevier arXiv

Conference papers

2024 · Learning-Based Control
Efficient and Safe Learning-based Control of Piecewise Affine Systems Using Optimization-Free Safety Filters
K. He, S. Shi, T. van den Boom, and B. De Schutter
Conference on Decision and Control (CDC), 2024.
IEEE
2024 · Learning-Based Control
Stability and performance analysis of model predictive control of uncertain linear systems
C. Liu, S. Shi, and B. De Schutter
Conference on Decision and Control (CDC), 2024.
IEEE arXiv
2024 · Learning-Based Control
Regret analysis of learning-based linear quadratic gaussian control with additive exploration
A. Athrey, O. Mazhar, M. Guo, B. De Schutter, and S. Shi
European Control Conference (ECC), 2024.
IEEE arXiv
2024 · Learning Dynamical Systems
A behavioral perspective on models of linear dynamical networks with manifest variables
S. Shi, Z. Sun, and B. De Schutter
European Control Conference, 2024.
IEEE arXiv
2023 · Learning Dynamical Systems
Signal selection for local module identification in linear dynamic networks: A graphical approach
S. Shi, X. Cheng, B. De Schutter, and P. M. J. Van den Hof
IFAC World Congress, 2023.
Elsevier
2020 · Learning Dynamical Systems
Excitation allocation for generic identifiability of a single module in dynamic networks: A graphic approach
S. Shi, X. Cheng, and P. M. J. Van den Hof
IFAC World Congress, 2020.
Elsevier
2019 · Learning Dynamical Systems
Allocation of excitation signals for generic identifiability of dynamic networks
X. Cheng, S. Shi, and P. M. J. Van den Hof
Conference on Decision and Control, 2019.
IEEE arXiv
2019 · Learning Dynamical Systems
Bayesian topology identification of linear dynamic networks
S. Shi, G. Bottegal, and P. M. J. Van den Hof
European Control Conference, 2019.
IEEE arXiv
2018 · Learning-Based Control
A recursively feasible distributed robust MPC algorithm for vehicle platooning
S. Shi and M. Lazar
IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2018.
Elsevier
2017 · Learning-Based Control
On distributed model predictive control for vehicle platooning with a recursive feasibility guarantee
S. Shi and M. Lazar
IFAC World Congress, 2017.
Elsevier

Preprints

2025 · Learning-Based Control
Bang-Ride Optimal Control: Monotonicity, External Positivity, and Fast Battery Charging
S. Shi, J. Sass, J. Wu, M. Kim, Y. Ma, S. Shin, R. Findeisen, R. D. Braatz
submitted to IEEE Transactions on Automatic Control, 2025.
arXiv
2025 · Learning-Based Control
Robust Adaptive Discrete-Time Control Barrier Certificate
C. Liu, A. Anil, S. Shi, and B. De Schutter
Under review by Automatica, 2025.
arXiv
2025 · Learning-Based Control
Learning State-Action Control Barrier Functions for Model-Free Control under Constraints
K. He, S. Shi, T. van den Boom, and B. De Schutter
Under review by IEEE Transactions on Automatic Control, 2025.
arXiv

Software

SYSDYNET

A MATLAB app and toolbox for dynamic network identification, developed with collaborators.

P. M. J. Van den Hof, S. Shi, et al. “SYSDYNET – A MATLAB App and Toolbox for Dynamic Network Identification.” IFAC Symposium on System Identification, 2024.

Toolbox website Paper