Parameter Identification in Nonlinear Mechanical Systems with Noisy Partial State Measurement Using PID-Controller Penalty Functions

Parameter Identification in Nonlinear Mechanical Systems with Noisy Partial State Measurement Using PID-Controller Penalty Functions

Dynamic models of physical systems often contain parameters that must be estimated from experimental data. In this work, we consider the identification of parameters in nonlinear mechanical systems given noisy measurements of only some states. The resulting nonlinear optimization problem can be solv...

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Bibliografiska uppgifter
Huvudupphovsmän: R. Manikantan, Sayan Chakraborty, Thomas K. Uchida, C. P. Vyasarayani
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2020-07-01
Serie:Mathematics
Ämnen:
engine mount
genetic algorithm
homotopy optimization
magnetorheological damper
modelling
parameter estimation
Länkar:https://www.mdpi.com/2227-7390/8/7/1084

Internet

https://www.mdpi.com/2227-7390/8/7/1084

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