...Jun Dong The traditional linear generation fuzzy fractional differential equation parameter identification algorithm lacks the update of the parameter identification process, has a large amount of calculation, slow convergence speed of parameter identification, and strong dependence on initial...

.... e-mail:  qasim.khadim@oulu.fi email:  emil.kurvinen@oulu.fi e-mail:  aki.mikkola@lut.fi e-mail:  grzegorz.orzechowski@lut.fi 16 10 2023 16 02 2024 13 05 2024 surrogate modeling parameter identification optimization universal hydraulic surrogate...

...) method for parameter identification. The mean square error between the measured torque and the calculated torque from the dynamic model is taken as the loss function. The gradient of the loss function with respect to the parameters is computed, and the parameters are updated in the negative gradient...

... optimization global optimization homotopy continuation measurement noise parameter identification partial state measurement In practice, it is often necessary to develop validated multibody dynamic models, whose system parameters must be estimated from experimental measurements [( 1 )]. Parameters...

...Chandrika P. Vyasarayani; Thomas Uchida; John McPhee This paper studies the application of the Lie series to the problem of parameter identification in multibody systems. Symbolic computing is used to generate the equations of motion and the associated Lie series solutions automatically...