scholarly journals Reduced-Order Modeling, Testing, and Control of Nonlinear Mechanical and Structural Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-2
Author(s):  
José Manoel Balthazar ◽  
Paulo Batista Gonçalves ◽  
Angelo Marcelo Tusset ◽  
Grzegorz Litak ◽  
Livija Cveticanin
Keyword(s):  
Reduced Order Modeling ◽  
Structural Systems ◽  
Reduced Order ◽  
Nonlinear Mechanical ◽  
And Control

scholarly journals Reduced Order Modeling and Control of Thin Film Growth in an HPCVD Reactor

2002 ◽  
Vol 62 (4) ◽  
pp. 1251-1280 ◽  
Author(s):  
G. M. Kepler ◽  
H. T. Banks ◽  
H. T. Tran ◽  
S. C. Beeler
Keyword(s):  
Thin Film ◽  
Film Growth ◽  
Reduced Order Modeling ◽  
Thin Film Growth ◽  
Modeling And Control ◽  
Reduced Order ◽  
And Control

Reduced Order Modeling and Control of an Electrohydraulic Valve System

2004 ◽  
Vol 37 (22) ◽  
pp. 167-172 ◽  
Author(s):  
Jean-Pierre Hathout ◽  
Jasim Ahmed ◽  
Aleksandar Kojić
Keyword(s):  
Reduced Order Modeling ◽  
Modeling And Control ◽  
Reduced Order ◽  
Valve System ◽  
Electrohydraulic Valve ◽  
And Control

Reduced Order Modelling in Nonlinear Mechanical Oscillators With Energy Pumping

2005 ◽  
Author(s):  
Xianghong Ma ◽  
Alexander F. Vakakis ◽  
Lawrence A. Bergman
Keyword(s):  
Dimensional Model ◽  
Reduced Order ◽  
Energy Pumping ◽  
Weakly Coupled ◽  
Nonlinear Mechanical ◽  
Dimensional Models ◽  
Mechanical Oscillators ◽  
Low Dimensional ◽  
Nonlinear Components ◽  
And Control

Energy pumping in nonlinear mechanical oscillators has been discovered and studied in mechanical systems consisting of weakly coupled, linear and nonlinear components [1–3]. In this paper this phenomenon is further studied and numerically verified on an 11 degree of freedom system. It also presents a technique to create low dimensional models for energy pumping systems using the Karhunen-Loeve (K-L) decomposition method. It is shown that energy pumping can be identified from the dominant K-L modes. The low dimensional models are used to reconstruct the system responses. From the comparisons between the reconstructed and simulated response, we can see that the K-L mode-based low-dimensional model can represent the system responses; it can be used for monitoring, diagnosis and control purposes.

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