Abstract
New modifications in mapping hierarchical fuzzy control scheme are proposed, to get effective and optimized control. The scheme was developed so that one can easily understand and modify fuzzy rules in different levels of the hierarchy. The presented approach ensures the universal approximation of functions in a compact domain. To validate this conceptual approach, we consider a textile data base as a non linear, multivariable and dynamic system.
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Jelleli, T.M., Alimi, A.M. (2005). Improved hierarchical fuzzy control scheme. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_31
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DOI: https://doi.org/10.1007/3-211-27389-1_31
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-24934-5
Online ISBN: 978-3-211-27389-0
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