Performance Monitoring of the Data-driven Subspace Predictive Control Systems Based on Historical Objective Function Benchmark

2014 ◽  
Vol 39 (5) ◽  
pp. 542-547 ◽  
Author(s):  
Lu WANG ◽  
Ning LI ◽  
Shao-Yuan LI
Keyword(s):  
Objective Function ◽  
Control Systems ◽  
Predictive Control ◽  
Performance Monitoring ◽  
Data Driven

scholarly journals Learning-Based Model Predictive Control: Toward Safe Learning in Control

2020 ◽  
Vol 3 (1) ◽  
pp. 269-296 ◽  
Author(s):  
Lukas Hewing ◽  
Kim P. Wabersich ◽  
Marcel Menner ◽  
Melanie N. Zeilinger
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Closed Loop ◽  
Data Driven ◽  
Control Techniques ◽  
Safety Constraints ◽  
Recorded Data ◽  
The Cost ◽  
Significant Opportunity

Recent successes in the field of machine learning, as well as the availability of increased sensing and computational capabilities in modern control systems, have led to a growing interest in learning and data-driven control techniques. Model predictive control (MPC), as the prime methodology for constrained control, offers a significant opportunity to exploit the abundance of data in a reliable manner, particularly while taking safety constraints into account. This review aims at summarizing and categorizing previous research on learning-based MPC, i.e., the integration or combination of MPC with learning methods, for which we consider three main categories. Most of the research addresses learning for automatic improvement of the prediction model from recorded data. There is, however, also an increasing interest in techniques to infer the parameterization of the MPC controller, i.e., the cost and constraints, that lead to the best closed-loop performance. Finally, we discuss concepts that leverage MPC to augment learning-based controllers with constraint satisfaction properties.

Data‐Driven Performance Monitoring for Model Predictive Control Using a mahalanobis distance based overall index

2018 ◽  
Vol 21 (2) ◽  
pp. 891-907 ◽  
Author(s):  
Yanting Xu ◽  
Guangming Zhang ◽  
Ning Li ◽  
Jing Zhang ◽  
Shaoyuan Li ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Mahalanobis Distance ◽  
Performance Monitoring ◽  
Data Driven

Data-driven predictive control for networked control systems

2013 ◽  
Vol 235 ◽  
pp. 45-54 ◽  
Author(s):  
Yuanqing Xia ◽  
Wen Xie ◽  
Bo Liu ◽  
Xiaoyun Wang
Keyword(s):  
Control Systems ◽  
Predictive Control ◽  
Networked Control Systems ◽  
Networked Control ◽  
Data Driven
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