Abstract
Mechatronic products are usually designed for high-precision control of mechanical state variables. Thus, small-signal and stochastic input responses take on a particular significance in the overall behavior of the system. Fundamentally, the noise levels induced by sensors, actuators, and environmental disturbances determine the achievable system accuracy. Starting from the conceptual design model, meaningful, quantitative calculations which can estimate the effects of stochastic inputs are essential to enabling robust predictions of the behavior of the system.
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Bibliography
Cooper, G. and C. McGillem (1999). Probabilistic Methods of Signal and System Analysis. Oxford University Press.
Föllinger, O. (2007). Laplace-, Fourier- und z-Transformation. Hüthig Verlag.
Gelb, A., Ed. (1974). Applied Optimal Estimation, M.I.T. Press.
Giloi, W. (1970). Simulation und Analyse stochastischer Vorgänge Oldenbourg Verlag.
Hsu, H. (2011). Schaum’s Outline of Probability, Random Variables, and Random Processes, Second Edition (Schaum’s Outline Series). McGraw-Hill.
Lin, C.-F. (1991). Modern Navigation, Guidance, and Control Processing. Prentice Hall.
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© 2012 SpringerVerlag Berlin Heidelberg
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Janschek, K., Richmond, K. (2012). Stochastic Dynamic Analysis. In: Mechatronic Systems Design. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17531-2_11
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DOI: https://doi.org/10.1007/978-3-642-17531-2_11
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-17531-2
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