Data-Driven Modeling, Filtering and Control: Methods and applications

2019 ◽  
Keyword(s):  
Data Driven ◽  
Control Methods ◽  
Data Driven Modeling ◽  
And Control

scholarly journals Optimal Control Design for Traffic Flow Maximization Based on Data-Driven Modeling Method

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 187
Author(s):  
Balázs Németh ◽  
Dániel Fényes ◽  
Zsuzsanna Bede ◽  
Péter Gáspár
Keyword(s):  
Traffic Flow ◽  
Optimization Problem ◽  
Control Design ◽  
Prediction Method ◽  
Data Driven ◽  
Traffic Network ◽  
Control Methods ◽  
Prediction And Control ◽  
Data Driven Modeling ◽  
And Control

This paper proposes enhanced prediction and control design methods for improving traffic flow with human-driven and automated vehicles. To achieve accurate prediction for the entire time horizon, data-driven and model-based prediction methods were integrated. The goal of the integration was to accurately predict the outflow of the traffic network, which was selected as the highway section in this paper. The proposed novel prediction method was used in the optimal design for calculating controlled inflows on highway ramps. The goal of the design was to reach the maximum outflow of the traffic network, even against disturbances on uncontrolled inflows of the network. The control design leads to an optimization problem based on the min–max principle, i.e., the traffic outflow is considered to be maximized by controlled inflows and to be minimized by uncontrolled inflows. The effectiveness of the prediction and the control methods through simulation examples are illustrated, i.e., traffic outflow can be maximized by the control system under various uncontrolled inflow values.

A Data Driven Modeling and Simulation Methodology for Automotive Assembly Plant

2011 ◽  
Vol 346 ◽  
pp. 228-235 ◽  
Author(s):  
Nan Wang ◽  
Shi Qi Li ◽  
Jun Feng Wang
Keyword(s):  
Data Structure ◽  
Modeling And Simulation ◽  
Simulation Model ◽  
Production System ◽  
Assembly Line ◽  
Data Driven ◽  
Simulation Methodology ◽  
Automotive Assembly ◽  
Data Driven Modeling ◽  
And Control

Simulation offers a quick, controllable and tunable approach for prototyping complex assembly processes in manufacturing environments. In order to improve the responsiveness of production system, this paper proposes a new approach based on data driven modeling and simulation methodology, it can automatically generate the simulation model of production system and realize rapid modification. The generated model also has high efficiency, readability and reusability. The approach is developed for an automotive assembly line. Through the modeling approach of IDEF1X, a data structure of simulation model was constructed, a model simulator was implemented in Arena by VBA program, and then a simulation model for target production system was built automatically through the attribute values in the data structure. The management and control process of assembly line is divided into different levels by hierarchical modeling approach, modeling element and control logic of simulation are separated. The case study of the automotive assembly line demonstrates the validity of data driven modeling and simulation methodology.

scholarly journals Data-driven modeling and control of droughts

2019 ◽  
Vol 52 (23) ◽  
pp. 54-60
Author(s):  
Marta Zaniolo ◽  
Matteo Giuliani ◽  
Andrea Castelletti
Keyword(s):  
Data Driven ◽  
Modeling And Control ◽  
Data Driven Modeling ◽  
And Control
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