Abstract
For nonlinear dynamic systems, the classical models are not sufficiently accurate, because the parameters are poorly known and are in general time-variants. So, it is important to develop control systems that incorporate learning capabilities in a way that their control systems automatically improve accuracy in real time and become more autonomous. This paper presents different technique used in dynamic nonlinear applications like dynamic test data generation and genetic algorithms. One example is given: an automatic pilot.
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Dobrescu, A. (2006). Dynamic Test Data Generation for the Nonlinear Models with Genetic Algorithms. In: Baglio, S., Bulsara, A. (eds) Device Applications of Nonlinear Dynamics. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33878-0_21
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DOI: https://doi.org/10.1007/3-540-33878-0_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33877-2
Online ISBN: 978-3-540-33878-9
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