Abstract
A Genetic Algorithm (GA) is a stochastic adaptive algorithm whose search method is based on simulation of natural genetic inheritance and Darwinian striving for survival. The GA has been adapted to study the problem of designing a stable sliding mode which yields robust performance in variable structure control systems. For various cases, we show that GA is viable and has great potential in the design of sliding mode control systems.
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© 1995 Springer-Verlag/Wien
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Moin, N.H., Zinober, A.S.I., Harley, P.J. (1995). Application of Genetic Algorithms in Sliding Mode Control Design. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_117
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DOI: https://doi.org/10.1007/978-3-7091-7535-4_117
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
eBook Packages: Springer Book Archive