17 citations · 24 across the 10 of their papers we have counts for
6 papers · 1 filter
Distributed Data-driven Predictive Control via Dissipative Behavior Synthesis
Yitao Yan, Jie Bao, Biao Huang
This paper presents a distributed data-driven predictive control (DDPC) approach using the behavioral framework. It aims to design a network of controllers for an interconnected sy…
A Contraction-constrained Model Predictive Control for Nonlinear Processes using Disturbance Forecasts
Ryan McCloy, Lai Wei, Jie Bao
Model predictive control (MPC) has become the most widely used advanced control method in process industry. In many cases, forecasts of the disturbances are available, e.g., predic…
A Contraction-constrained Model Predictive Control for Multi-timescale Nonlinear Processes
Ryan McCloy, Lai Wei, Jie Bao
Many chemical processes exhibit diverse timescale dynamics with a strong coupling between timescale sensitive variables. Model predictive control with a non-uniformly spaced optimi…
Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks
Lai Wei, Ryan McCloy, Jie Bao
Driven by the flexible manufacturing trend in the process control industry and the uncertain nature of chemical process models, this article aims to achieve offset-free tracking fo…
Electrolyte Flow Rate Control for Vanadium Redox Flow Batteries using the Linear Parameter Varying Framework
Ryan McCloy, Yifeng Li, Jie Bao +1
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. T…
Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks
Lai Wei, Ryan McCloy, Jie Bao
In response to the continuously changing feedstock supply and market demand for products with different specifications, the processes need to be operated at time-varying operating…