7 citations · 20 across the 7 of their papers we have counts for
6 papers · 1 filter
Real-time nonlinear model predictive control framework for event-triggered switching in industrial batch polymerization process
Chenchen Zhou, Zuzhen Ji, Jose Matias
Controlling batch polymerization is challenging because the absence of a steady operating point prevents standard linearization; the dynamics are intrinsically nonlinear; and multi…
Deployment-Aware Controller and Control Architecture Co-Design via Mixed-Integer Output-Feedback SLS
Chenchen Zhou, Jose Matias
We study controller and control-architecture co-design for output-feedback systems under a hard budget. The architecture activates sensors and actuators and selects among directed…
Generalized Global Self-Optimizing Control for Chemical Processes: Part II Objective-Guided Controlled Variable Learning Approach
Chenchen Zhou, Hongxin Su, Xinhui Tang +3
Self-optimizing control (SOC) aims to maintain near-optimal process operation by judiciously selecting controlled variables (CVs). In this series of work, the generalized global SO…
Global self-optimizing control of batch processes
Chenchen Zhou, Hongxin Su, Xinhui Tang +2
This work considers to achieve near-optimal operation for a class of batch processes by employing self-optimizing control (SOC). Comparing with a continuous one, a batch process ex…
Dynamic Controlled Variables Based Dynamic Self-Optimizing Control
Chenchen Zhou, Shaoqi Wang, Hongxin Su +3
Self-optimizing control is a strategy for selecting controlled variables, where the economic objective guides the selection and design of controlled variables, with the expectation…
Performance guaranteed MPC Policy Approximation via Cost Guided Learning
Chenchen Zhou, Yi Cao, Shuang-hua Yang
Model predictive control (MPC) is widely used in industries but implementing it poses challenges due to hardware or time constraints. A promising solution is to approximate the MPC…