Fast computation of uncertainty lower bounds for state-space model-based operational modal analysis

2022 ◽  
Vol 169 ◽  
pp. 108759
Author(s):  
Yuanfeng Shi ◽  
Binbin Li ◽  
Siu-Kui Au
Keyword(s):  
Modal Analysis ◽  
State Space ◽  
Lower Bounds ◽  
State Space Model ◽  
Operational Modal Analysis ◽  
Fast Computation ◽  
Space Model ◽  
Model Based

Identification for Control of Low Pressure Die Casting

2010 ◽  
Author(s):  
XinMei Shi ◽  
Daan M. Maijer ◽  
Guy Dumont
Keyword(s):  
Heat Transfer ◽  
State Space ◽  
Die Casting ◽  
State Space Model ◽  
Heat Transfer Model ◽  
Transfer Model ◽  
Process Data ◽  
Space Model ◽  
Model Based ◽  
Virtual Process

Controlling and eliminating defects, such as macro-porosity, in die casting processes is an on-going challenge for manufacturers. Current strategies for eliminating defects focus on the execution of a pre-set casting cycle, die structure design or the combination of both. To respond to process variability and mitigate its negative effects, advanced process control methodologies may be employed to dynamically adjust the operational parameters of the process. In this work, a finite element heat transfer model, validated by comparison with experimental data, has been developed to predict the evolution of temperatures and the volume of liquid encapsulation in an experimental casting process. A virtual process, made up of the heat transfer model and a wrapper script for communication, has been employed to simulate the continuous operation of the real process. A stochastic state-space model, based on data from measurements and the virtual process, has been developed to provide a reliable representation of this virtual process. The parameters of the deterministic portion result from system identification of the virtual process, whereas the parameters of the stochastic portion arise from the analysis and comparison of measurement data with virtual process data. The resulting state-space model, which can be extended to a multi-input multi-output model, will facilitate the design of a model-based controller for this process.

scholarly journals Investor-herding and risk-profiles: A State-Space model-based assessment

2020 ◽  
Vol 62 ◽  
pp. 101383 ◽  
Author(s):  
Harmindar B. Nath ◽  
Robert D. Brooks
Keyword(s):  
State Space ◽  
State Space Model ◽  
Risk Profiles ◽  
Space Model ◽  
Model Based
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