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Fuzzy and neuro-fuzzy control for smart structures

Tairidis Georgios, Stavroulakis Georgios

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/4F2A75D0-4C35-4F0E-B1A3-80B14786D4BD-
Αναγνωριστικόhttps://doi.org/10.1007/978-3-030-25446-9_4-
Αναγνωριστικόhttps://link.springer.com/chapter/10.1007/978-3-030-25446-9_4-
Γλώσσαen-
Μέγεθος29 pagesen
ΤίτλοςFuzzy and neuro-fuzzy control for smart structuresen
ΔημιουργόςTairidis Georgiosen
ΔημιουργόςΤαϊριδης Γεωργιοςel
ΔημιουργόςStavroulakis Georgiosen
ΔημιουργόςΣταυρουλακης Γεωργιοςel
ΕκδότηςSpringer Natureen
ΠερίληψηClassical control tools often encounter a number of limitations on the investigation of smart composite structures due to nonlinearities and/or other uncertainties. Especially in smart structures, which is the case here, a significant degree of uncertainty is involved due to several imperfections and/or errors of both the controller and the structure itself. For example, in structures with multiple layers, several failures may appear, such as delamination, debonding, fatigue, etc. The use of intelligent fuzzy and adaptive control which is based on neuro-fuzzy techniques can be very helpful in this direction. One may also consider using global optimization algorithms for the fine-tuning of the characteristics of the controllers to maximize their applicability, their efficiency, and their robustness. In other words, the controllers can be designed based on intuition and basic engineering principles, and then they can be subjected to optimization, e.g., to training/learning using artificial neural networks, in order to achieve certain properties.en
ΤύποςΚεφάλαιο σε Βιβλίοel
ΤύποςBook Chapteren
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2020-10-29-
Ημερομηνία Δημοσίευσης2019-
Θεματική ΚατηγορίαSmart composite structuresen
Θεματική ΚατηγορίαAdaptive controlen
Θεματική ΚατηγορίαNeuro-fuzzy techniquesen
Θεματική ΚατηγορίαOptimization algorithmsen
Βιβλιογραφική ΑναφοράG.K. Tairidis and G.E. Stavroulakis, "Fuzzy and neuro-fuzzy control for smart structures," in Computational Intelligence and Optimization Methods for Control Engineering, vol. 150, Springer Optimization and Its Applications, M. Blondin, P. Pardalos, J. Sanchis Sáez, Eds., Cham, Switzerland: Springer Nature, 2019, pp. 75-103. doi: 10.1007/978-3-030-25446-9_4en
Τίτλος ΒιβλίουComputational Intelligence and Optimization Methods for Control Engineeringen
Σειρά ΒιβλίουSpringer Optimization and Its Applicationsen

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