Abstract
Adaptive control and system identification of the standard types usually reduce to parameter estimation. Since the control law is ultimately a mapping from the measurement history to commands to the plant, it is intriguing to consider attempting to establish an appropriate such mapping without using the specialized structure that the standard methods use. Several techniques have been suggested which, to a greater or lesser extent, self-learn or are taught the proper control. Among these are:
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artificial neural networks
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functional learning
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expert systems, and
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fuzzy systems.
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© 1995 Springer Science+Business Media Dordrecht
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Westphal, L.C. (1995). Learning control. In: Sourcebook of Control Systems Engineering. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1805-1_32
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DOI: https://doi.org/10.1007/978-1-4615-1805-1_32
Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4615-1805-1
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