Determining power consumption using neural model in multibody systems with clearance and flexible joints

Author:

Erkaya SelçukORCID

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Modelling and Simulation

Reference57 articles.

1. ASME, ANSY, Y14.5M-1994, Dimensional and Tolerancing, New York (1994)

2. Flores, P., Ambrósio, J., Claro, J.C.P., Lankarani, H.M.: Kinematics and dynamics of multibody systems with imperfect joints: models and case studies. In: Pfeiffer, F., Wriggers, P. (eds.) Lecture Notes in Applied and Computational Mechanics, vol. 34. Springer, Berlin (2008)

3. Kant, G., Sangwan, K.S.: Predictive modelling for energy consumption in machining using artificial neural network. Proc. CIRP 37, 205–210 (2015)

4. Owda, H.M.H., Omoniwa, B., Shahid, A.R., Ziauddin, S.: Using artificial neural network techniques for prediction of electric energy consumption. arXiv:1412.2186 [cs.NE] (2014)

5. Schiehlen, W., Iwamura, M.: Minimum energy control of multibody systems utilizing storage elements. In: ASME Proceedings 7th Int. Conf. Multibody Sys. Nonlinear Dyn. and Control USA, pp. 1919–1926 (2009)

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