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Identification of dynamic characteristics of local nonlinearities has been aimed in this paper.
Simulated results show that the FABP algorithm is effective for the identification of dynamic systems.
A systematic design procedure for the identification of dynamic sandwich system with hysteresis (DSSH) is proposed.
Characteristics such as nonlinearity, uncertainty, and time-delays make the identification of dynamic processes challenging.
This includes the identification of dynamic limiting structures and the following optimization by mechatronic system-monitoring.
A new experiment design procedure for identification of dynamic multiple-input multiple-output (MIMO) systems is presented.
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It is shown that both the identification errors of dynamic neural networks and the estimation errors of the disturbance observer can converge to zero.
Identification of such dynamic protein complexes and their coordinated mechanism of action should contribute to better understanding of the dynamic nature of ciliary function in sensory neurons as well as pathomechanism of associated disorders.
Most of the reported studies focused on the energy dissipation of bolted joints, linear and non-linear identification of the dynamic properties of the joints, parameter uncertainties and relaxation, and active control of the joint preload.
The design of the controller requires the identification of the dynamic properties of the system.
van den Bedem, H., Bhabha, G., Yang, K., Wright, P. E. & Fraser, J. S. Automated identification of functional dynamic contact networks from X-ray crystallography.
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