Robust Control of Multi-Line Re-Entrant Manufacturing Plants via Stochastic Continuum Models
This paper investigates the robust intelligent control problem of multi-line re-entrant
manufacturing plants. The control system is designed with a hierarchical architecture, where …
manufacturing plants. The control system is designed with a hierarchical architecture, where …
Event-triggered boundary control of a continuum model of highly re-entrant manufacturing systems
M Diagne, I Karafyllis - Automatica, 2021 - Elsevier
We design an event-triggered boundary controller for a continuum model of highly re-entrant
manufacturing systems for which the influx rate of products is the controlled quantity …
manufacturing systems for which the influx rate of products is the controlled quantity …
A methodology for the simultaneous design and control of large-scale systems under process parameter uncertainty
LA Ricardez-Sandoval, PL Douglas… - Computers & chemical …, 2011 - Elsevier
This work presents a simultaneous design and control methodology for large-scale systems.
The approach is based on the identification of an uncertain model from a first-principle …
The approach is based on the identification of an uncertain model from a first-principle …
A bi-level model integrating planning and scheduling for the optimization of process operation and energy consumption of a PVC plant under uncertainty
J Su, Y Wang - Computers & Chemical Engineering, 2022 - Elsevier
PVC production by the calcium carbide method is a typical hybrid system consisting of
continuous and intermittent processing, and the optimization of the whole process …
continuous and intermittent processing, and the optimization of the whole process …
Multifidelity Modeling for Analysis and Optimization of Serial Production Lines
Recent advances in sensing, data analytics, and manufacturing technologies (eg, 3-D
printing, soft robotics, nanotechnologies, etc.) provide the potential to produce highly …
printing, soft robotics, nanotechnologies, etc.) provide the potential to produce highly …
A model predictive control approach for real-time optimization of reentrant manufacturing lines
FD Vargas-Villamil, DE Rivera - Computers in Industry, 2001 - Elsevier
A two layer hierarchical framework for optimization, control, and scheduling of semi-
conductor reentrant lines is proposed. In this framework, model predictive control (MPC) is …
conductor reentrant lines is proposed. In this framework, model predictive control (MPC) is …
Control design for nonlinear process models using linear robust control methods: An FCCU example
Recent advances in the area of computer-aided robust (ie, uncertainty tolerant) multivariable
feedback control design based on linear time invariant nominal plant models have so far …
feedback control design based on linear time invariant nominal plant models have so far …
A hierarchical approach to production control of reentrant semiconductor manufacturing lines
FD Vargas-Villamil, DE Rivera… - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
A three-layer hierarchical approach for inventory control and production optimization of
semiconductor reentrant manufacturing lines is developed. At the top layer, the parameters …
semiconductor reentrant manufacturing lines is developed. At the top layer, the parameters …
A data-driven robust optimization approach to scenario-based stochastic model predictive control
Stochastic model predictive control (SMPC) has been a promising solution to complex
control problems under uncertain disturbances. However, traditional SMPC approaches …
control problems under uncertain disturbances. However, traditional SMPC approaches …
Operator-Based Adaptive Tracking Capacity Control in Complex Manufacturing Processes
Nowadays, quickly changing customer demands are a big challenge in the manufacturing
industry, especially for job shops, which are typical coupling and nonlinear multi-input–multi …
industry, especially for job shops, which are typical coupling and nonlinear multi-input–multi …