most citedDiscrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2022

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…

eess.SY2022★ 1 cited

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…

eess.SY2022★ 1 cited

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…

eess.SY2022

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…

eess.SY2021

Contraction Analysis and Control Synthesis for Discrete-time Nonlinear Processes

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…

eess.SY2021

Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems

Lai Wei, Ryan Mccloy, Jie Bao

Flexible manufacturing has been the trend in the area of the modern chemical process nowadays. One of the essential characteristics of flexible manufacturing is to track time-varyi…

eess.SY2021★ 2 cited

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…