Minimum model error estimation for poorly modeled dynamic systems

1987 ◽  
Author(s):  
D. MOOK ◽  
JOHN JUNKINS
Keyword(s):  
Error Estimation ◽  
Dynamic Systems ◽  
Model Error

Minimum model error estimation for poorly modeled dynamic systems

1988 ◽  
Vol 11 (3) ◽  
pp. 256-261 ◽  
Author(s):  
D. Joseph Mook ◽  
John L. Junkins
Keyword(s):  
Error Estimation ◽  
Dynamic Systems ◽  
Model Error

Model Error Estimation for the Simplified PN Radiation Transport Equations

2020 ◽  
Vol 194 (10) ◽  
pp. 903-926
Author(s):  
Yunhuang Zhang ◽  
Jean C. Ragusa ◽  
Jim E. Morel
Keyword(s):  
Error Estimation ◽  
Radiation Transport ◽  
Model Error ◽  
Transport Equations

Adaptive Passivity-Based Nonlinear Control for Strict Feedback Form Systems

2000 ◽  
Author(s):  
Peter Seiler ◽  
Andrew Alleyne
Keyword(s):  
Dynamic Systems ◽  
Parametric Uncertainty ◽  
Model Error ◽  
Parametric Model ◽  
Adaptive Backstepping ◽  
Feedback Form ◽  
Backstepping Controller ◽  
Coupling Terms ◽  
Adaptive Backstepping Controller ◽  
Strict Feedback

Abstract This paper presents a tracking algorithm for the adaptive control of nonlinear dynamic systems represented in Strict Feedback Form with parametric uncertainty. The construction of the stabilizing algorithm is given using Passivity-based arguments that result in an Adaptive Passivity-Based Controller (APBC). This paper also shows a comparison with a controller designed via Adaptive Backstepping with tuning functions. The Adaptive Backstepping Controller (ABC) has many additional coupling terms that make its design and implementation more complex and may also result in unwanted transients. On the other hand, the APBC has a convenient decoupling property that provides a diagnostic tool for detection of non-parametric model error.

Model Error Estimation Improves Forecasting

2020 ◽  
Vol 72 (04) ◽  
pp. 67-68
Author(s):  
Chris Carpenter
Keyword(s):  
Error Estimation ◽  
Model Error
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