Wentao Tang
Orcid: 0000-0003-0816-2322Affiliations:
- North Carolina State University, Department of Chemical and Biomolecular Engineering, Raleigh, NC, USA
- University of Minnesota, Minneapolis, MN, USA
According to our database1,
Wentao Tang
authored at least 26 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
2025
CoRR, March, 2025
CoRR, February, 2025
2024
Koopman Operator in the Weighted Function Spaces and its Learning for the Estimation of Lyapunov and Zubov Functions.
CoRR, 2024
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Synthesis of Data-Driven Nonlinear State Observers using Lipschitz-Bounded Neural Networks.
Proceedings of the American Control Conference, 2024
2023
Automatic decomposition of large-scale industrial processes for distributed MPC on the Shell-Yokogawa Platform for Advanced Control and Estimation (PACE).
Comput. Chem. Eng., October, 2023
Optimal Design of Control-Lyapunov Functions by Semi-Infinite Stochastic Programming.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Dissipativity Learning Control through Estimation from Online Trajectories<sup>*</sup>.
Proceedings of the American Control Conference, 2023
Resolving large-scale control and optimization through network structure analysis and decomposition: A tutorial review.
Proceedings of the American Control Conference, 2023
2022
Proceedings of the American Control Conference, 2022
2021
Dissipativity learning control (DLC): Theoretical foundations of input-output data-driven model-free control.
Syst. Control. Lett., 2021
Coordinating distributed MPC efficiently on a plantwide scale: The Lyapunov envelope algorithm.
Comput. Chem. Eng., 2021
Nonlinear state and parameter estimation using derivative information: A Lie-Sobolev approach.
Comput. Chem. Eng., 2021
2020
Fast and Stable Nonconvex Constrained Distributed Optimization: The ELLADA Algorithm.
CoRR, 2020
2019
A Bilevel Programming Approach to the Convergence Analysis of Control-Lyapunov Functions.
IEEE Trans. Autom. Control., 2019
Dissipativity learning control (DLC): A framework of input-output data-driven control.
Comput. Chem. Eng., 2019
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Syst. Control. Lett., 2018
Reprint of: Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection.
Comput. Chem. Eng., 2018
Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection.
Comput. Chem. Eng., 2018
Decomposing complex plants for distributed control: Perspectives from network theory.
Comput. Chem. Eng., 2018
Proceedings of the 2018 Annual American Control Conference, 2018