collaborators

7 papers

eess.SY2026

A Theory-Guided Advanced Regulatory Control Synthesis for Cooling-Limited Exothermic Semi-Batch Reactors

Chenchen Zhou, Jose Matias

This paper studies theory-guided advanced regulatory control (ARC) synthesis for cooling-limited exothermic semi-batch reactors, whose productivity and thermal safety are governed…

math.OC2026

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…

math.OC2026

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…

math.OC2026

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…

math.OC2026

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…

math.OC2026

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…