Wentao Tang

According to our database, Wentao Tang authored at least 21 papers between 2018 and 2024.

Collaborative distances:

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

2024

Data-driven bifurcation analysis via learning of homeomorphism.

Wentao Tang

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Synthesis of Data-Driven Nonlinear State Observers using Lipschitz-Bounded Neural Networks.

Wentao Tang

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).

Wentao Tang, Pierre Carrette, Yongsong Cai, John M. Williamson, Prodromos Daoutidis

Comput. Chem. Eng., October, 2023

The future of control of process systems.

Prodromos Daoutidis, Larry Megan, Wentao Tang

Comput. Chem. Eng., October, 2023

Optimal Design of Control-Lyapunov Functions by Semi-Infinite Stochastic Programming.

Wentao Tang, Prodromos Daoutidis

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Dissipativity Learning Control through Estimation from Online Trajectories^*.

Wentao Tang, Moritz Woelk

Proceedings of the American Control Conference, 2023

Resolving large-scale control and optimization through network structure analysis and decomposition: A tutorial review.

Wentao Tang, Andrew Allman, Ilias Mitrai, Prodromos Daoutidis

Proceedings of the American Control Conference, 2023

2022

Data-Driven Control: Overview and Perspectives ^*.

Wentao Tang, Prodromos Daoutidis

Proceedings of the American Control Conference, 2022

2021

Dissipativity learning control (DLC): Theoretical foundations of input-output data-driven model-free control.

Wentao Tang, Prodromos Daoutidis

Syst. Control. Lett., 2021

Coordinating distributed MPC efficiently on a plantwide scale: The Lyapunov envelope algorithm.

Wentao Tang, Prodromos Daoutidis

Comput. Chem. Eng., 2021

Nonlinear state and parameter estimation using derivative information: A Lie-Sobolev approach.

Wentao Tang, Prodromos Daoutidis

Comput. Chem. Eng., 2021

2020

Fast and Stable Nonconvex Constrained Distributed Optimization: The ELLADA Algorithm.

Wentao Tang, Prodromos Daoutidis

CoRR, 2020

2019

A Bilevel Programming Approach to the Convergence Analysis of Control-Lyapunov Functions.

Wentao Tang, Prodromos Daoutidis

IEEE Trans. Autom. Control., 2019

Dissipativity learning control (DLC): A framework of input-output data-driven control.

Wentao Tang, Prodromos Daoutidis

Comput. Chem. Eng., 2019

Input-output data-driven control through dissipativity learning.

Wentao Tang, Prodromos Daoutidis

Proceedings of the 2019 American Control Conference, 2019

Distributed nonlinear model predictive control through accelerated parallel ADMM.

Wentao Tang, Prodromos Daoutidis

Proceedings of the 2019 American Control Conference, 2019

2018

Distributed adaptive dynamic programming for data-driven optimal control.

Wentao Tang, Prodromos Daoutidis

Syst. Control. Lett., 2018

Reprint of: Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection.

Wentao Tang, Andrew Allman, Davood Babaei Pourkargar, Prodromos Daoutidis

Comput. Chem. Eng., 2018

Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection.

Wentao Tang, Andrew Allman, Davood Babaei Pourkargar, Prodromos Daoutidis

Comput. Chem. Eng., 2018

Decomposing complex plants for distributed control: Perspectives from network theory.

Prodromos Daoutidis, Wentao Tang, Sujit S. Jogwar

Comput. Chem. Eng., 2018

The role of community structures in sparse feedback control.

Wentao Tang, Prodromos Daoutidis

Proceedings of the 2018 Annual American Control Conference, 2018