Abstract
We describe in this chapter adaptive model-based control of non-linear plants using soft computing techniques. First, the general concept of adaptive modelbased control is described. Second, the use of fuzzy logic for adaptive control is described. Third, a neuro-fuzzy approach is proposed to learn the parameters of the fuzzy system for control. A specific non-linear plant is used to test the hybrid approach for adaptive control. A particular stepping motor was used as test bed in the experiments. The results of the neuro-fuzzy approach were good, both in accuracy and efficiency.
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© 2003 Physica-Verlag Heidelberg
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Castillo, O., Melin, P. (2003). Adaptive Control of Non-Linear Plants. In: Soft Computing and Fractal Theory for Intelligent Manufacturing. Studies in Fuzziness and Soft Computing, vol 117. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1766-9_9
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DOI: https://doi.org/10.1007/978-3-7908-1766-9_9
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-662-00296-4
Online ISBN: 978-3-7908-1766-9
eBook Packages: Springer Book Archive