A differential evolution algorithm for fuzzy control of smart structures A differential evolution algorithm for fuzzy control of smart structures Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-10-122012enSmart structures include elements of active, passive or hybrid control. For compli- cated structures, mainly the ones including nonlinearities, or nonlinear control laws, the theoretical results from the area of control are not very helpful. In this paper, the fuzzy control is considered, which is a suitable tool for the systematic development of active control strategies, and the Differential Evolution algorithm is proposed and used for the calculation of the continuous and discrete free parameters in the fuzzy control system. Numerical applications for smart piezoelastic beams are presented. The results obtained are compared with the ones obtained with the fuzzy controller optimized using Particle Swarm Optimization and with the fuzzy controller optimized using a Genetic Algorithm.http://creativecommons.org/licenses/by/4.0/Proceedings of the Eleventh International Conference on Computational Structures Technology Marinaki Magdalini Μαρινακη Μαγδαληνη Marinakis Ioannis Μαρινακης Ιωαννης Stavroulakis Georgios Σταυρουλακης Γεωργιος Applied mechanics Engineering, Mechanical mechanics applied applied mechanics engineering mechanical