Wallace Tan Gian Yion

According to our database, Wallace Tan Gian Yion authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Polynomial Parametric Koopman Operators for Stochastic MPC.

Efstathios Iliakis, Wallace Tan Gian Yion, Liang Wu, Ján Drgona, Richard D. Braatz

CoRR, April, 2026

Lyapunov-stable neural networks for modelling and control of nonlinear systems.

Wallace Tan Gian Yion, Ming Xiao, Guoquan Wu, Zhe Wu

Int. J. Control, February, 2026

Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates.

Liang Wu, Wallace Tan Gian Yion, Richard D. Braatz, Ján Drgona

CoRR, February, 2026

Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control.

Liang Wu, Wallace Tan Gian Yion, Leqi Zhou, Richard D. Braatz, Ján Drgona

CoRR, January, 2026

Fixed-Time-Stable ODE Representation of Lasso.

Liang Wu, Yunhong Che, Wallace Tan Gian Yion, Efstathios Iliakis, Richard D. Braatz, Ján Drgona

IEEE Control. Syst. Lett., 2026

2025

Structure-Preserving Uncertainty Quantification and Control of Population Balance Models.

Wallace Tan Gian Yion, Krystian Ganko, Richard D. Braatz

Proceedings of the 2025 American Control Conference, 2025

2024

Robust machine learning modeling for predictive control using Lipschitz-Constrained Neural Networks.

Wallace Tan Gian Yion, Zhe Wu

Comput. Chem. Eng., January, 2024

Machine Learning Modeling of Nonlinear Processes with Lyapunov Stability Guarantees.

Wallace Tan Gian Yion, Ming Xiao, Guoquan Wu, Zhe Wu

Proceedings of the American Control Conference, 2024

2023

Machine learning aided model predictive control with multi-objective optimization and multi-criteria decision making.

Zhiyuan Wang, Wallace Tan Gian Yion, Gade Pandu Rangaiah, Zhe Wu

Comput. Chem. Eng., November, 2023

Robust Machine Learning Modeling for Predictive Control Using Lipschitz-Constrained Neural Networks.

Wallace Tan Gian Yion, Zhe Wu

CoRR, 2023