no code implementations • 9 May 2022 • Ryan Mccloy, Lai Wei, Jie Bao
Model predictive control (MPC) has become the most widely used advanced control method in process industry.
no code implementations • 9 May 2022 • Ryan Mccloy, Lai Wei, Jie Bao
Many chemical processes exhibit diverse timescale dynamics with a strong coupling between timescale sensitive variables.
no code implementations • 30 Jan 2022 • Lai Wei, Ryan Mccloy, Jie Bao
This neural network is then embedded in an adaptive contraction-based control law which is updated by parameter estimates online.
no code implementations • 30 Jan 2022 • Ryan Mccloy, Yifeng Li, Jie Bao, Maria Skyllas-Kazacos
In this article, an electrolyte flow rate control approach is developed for an all-vanadium redox flow battery (VRB) system based on the linear parameter varying (LPV) framework.
no code implementations • 9 Dec 2021 • Lai Wei, Ryan Mccloy, Jie Bao
Shifting away from the traditional mass production approach, the process industry is moving towards more agile, cost-effective and dynamic process operation (next-generation smart plants).
no code implementations • 12 May 2021 • Lai Wei, Ryan Mccloy, Jie Bao
In this paper, a contraction theory-based control approach using neural networks is developed for nonlinear chemical processes to achieve time-varying reference tracking.
no code implementations • 21 Apr 2021 • Lai Wei, Ryan Mccloy, Jie Bao
Flexible manufacturing has been the trend in the area of the modern chemical process nowadays.