scholarly journals Data-driven optimal control with a relaxed linear program

Automatica ◽  
2022 ◽  
Vol 136 ◽  
pp. 110052
Author(s):  
Andrea Martinelli ◽  
Matilde Gargiani ◽  
John Lygeros
Keyword(s):  
Optimal Control ◽  
Linear Program ◽  
Data Driven

scholarly journals Online Output-Feedback Optimal Control of Linear Systems Based on Data-Driven Adaptive Learning

2020 ◽  
Vol 53 (2) ◽  
pp. 1596-1601
Author(s):  
Jun Zhao ◽  
Jing Na ◽  
Guanbin Gao ◽  
Shichang Han ◽  
Qiang Chen ◽  
...  
Keyword(s):  
Optimal Control ◽  
Linear Systems ◽  
Adaptive Learning ◽  
Output Feedback ◽  
Data Driven ◽  
Control Of Linear Systems ◽  
Feedback Optimal Control

Data-driven Sparsity-promoting Optimal Control of Power Buffers in DC Microgrids

2020 ◽  
pp. 1-1
Author(s):  
Paolo R. Massenio ◽  
David Naso ◽  
Frank L. Lewis ◽  
Ali Davoudi
Keyword(s):  
Optimal Control ◽  
Data Driven ◽  
Dc Microgrids

scholarly journals Development of an Optimal Start Control Strategy for a Variable Refrigerant Flow (VRF) System

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 271
Author(s):  
Yusung Lee ◽  
Woohyun Kim
Keyword(s):  
Optimal Control ◽  
Control Strategy ◽  
Predictive Performance ◽  
Building Energy ◽  
Data Driven ◽  
Energy Usage ◽  
Optimal Control Strategy ◽  
Save Energy ◽  
Time Required ◽  
Optimal Control Methods

In this study, an optimal control strategy for the variable refrigerant flow (VRF) system is developed using a data-driven model and on-site data to save the building energy. Three data-based models are developed to improve the on-site applicability. The presented models are used to determine the length of time required to bring each zone from its current temperature to the set point. The existing data are used to evaluate and validated the predictive performance of three data-based models. Experiments are conducted using three outdoor units and eight indoor units on site. The experimental test is performed to validate the performance of proposed optimal control by comparing between conventional and optimal control methods. Then, the ability to save energy wasted for maintaining temperature after temperature reaches the set points is evaluated through the comparison of energy usage. Given these results, 30.5% of energy is saved on average for each outdoor unit and the proposed optimal control strategy makes the zones comfortable.

Data-driven modeling and optimal control of the production of Fructo-Oligosaccharides by Aureobasidium Pullulans

2019 ◽  
Vol 81 ◽  
pp. 136-149
Author(s):  
R. Fekih-Salem ◽  
J. Schorsch ◽  
L. Dewasme ◽  
C. Castro ◽  
A.-L. Hantson ◽  
...  
Keyword(s):  
Optimal Control ◽  
Aureobasidium Pullulans ◽  
Data Driven ◽  
Data Driven Modeling

A data-driven optimal control approach for solution purification process

2018 ◽  
Vol 68 ◽  
pp. 171-185 ◽  
Author(s):  
Bei Sun ◽  
Mingfang He ◽  
Yalin Wang ◽  
Weihua Gui ◽  
Chunhua Yang ◽  
...  
Keyword(s):  
Optimal Control ◽  
Data Driven ◽  
Purification Process ◽  
Control Approach ◽  
Optimal Control Approach
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