scholarly journals Model-based control of cavity oscillations. II - System identification and analysis

2002 ◽  
Author(s):  
C. Rowley ◽  
D. Williams ◽  
T. Colonius ◽  
R. Murray ◽  
D. MacMartin ◽  
...  
Keyword(s):  
System Identification ◽  
Model Based Control ◽  
Model Based

Building Energy Consumption On-Line Forecasting Using System Identification and Data Fusion

2014 ◽  
Author(s):  
Xiwang Li ◽  
Jin Wen
Keyword(s):  
System Identification ◽  
Data Fusion ◽  
Building Energy ◽  
Integrated System ◽  
System Structure ◽  
Estimation Accuracy ◽  
Energy Estimation ◽  
Model Based Control ◽  
Model Based ◽  
On Line

Model based control has been proven to have significant building energy saving potentials through operation optimization. Accurate and computationally efficient, and cost-effective building energy model are essential for model based control. Existing studies in this area have mostly been focusing on reducing computation burden using simplified physics based modeling approach. However, creating and identification the simplified physics based model is often challenging and requires significant engineering efforts. Therefore, this study proposes a novel methodology to develop building energy estimation models for on-line building control and optimization using an integrated system identification and data fusion approach. System identification model has been developed based on frequency domain spectral density analysis. Eigensystem realization algorithm is used to generate the state space model from the Markov parameters. Kalman filter based data fusion technique has also been implemented to improve the accuracy and robustness of the model by incorporating with real measurements. A systematic analysis of system structure, system excitation selection as well as data fusion implementation is also demonstrated. The developed strategies are evaluated using a simulated testing building (simulated in EnergyPlus environment). The overall building energy estimation accuracy from this proposed model can reach to above 95% within 2 minutes calculation time, when compared against detailed physics based simulation results from the EnergyPlus model.

Model-based Control Techniques for Large-Scale High-Precision Stage

2020 ◽  
Vol 140 (4) ◽  
pp. 272-280
Author(s):  
Wataru Ohnishi ◽  
Hiroshi Fujimoto ◽  
Koichi Sakata
Keyword(s):  
High Precision ◽  
Large Scale ◽  
Model Based Control ◽  
Precision Stage ◽  
Control Techniques ◽  
Model Based
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