2015
DOI: 10.1016/j.compstruc.2014.09.018
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Fuzzy control optimized by a Multi-Objective Differential Evolution algorithm for vibration suppression of smart structures

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Cited by 42 publications
(15 citation statements)
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“…Another method that may be useful for the fine tuning of the parameters of a controller, used for vibration suppression of smart structures, is the particle swarm optimization met hod [28,29,30] and the differential evolution [31]. These methods are similar to the genetic approach, however they can provide more accurate results.…”
Section: Optimization Of Controlmentioning
confidence: 99%
“…Another method that may be useful for the fine tuning of the parameters of a controller, used for vibration suppression of smart structures, is the particle swarm optimization met hod [28,29,30] and the differential evolution [31]. These methods are similar to the genetic approach, however they can provide more accurate results.…”
Section: Optimization Of Controlmentioning
confidence: 99%
“…Hari and Patil developed a new approach of designing an optimized fuzzy controller by Jaya algorithm for nonlinear systems. Marinaki et al proposed a new method based on differential evolution algorithm for the calculation of the parameters of FLC in active control systems. Caraveo et al presented a modification of a bio‐inspired algorithm based on the bee behavior, called bee colony optimization for optimizing fuzzy controllers.…”
Section: Introductionmentioning
confidence: 99%
“…For example, traditional control methods like negative velocity feedback control [4][5][6], positive position feedback control [7][8][9][10], PID control [11][12][13][14] and bang-bang control [15][16][17]; modern control methods such as Lyapunov control [18,19], linear quadratic regulator (LQR) control [18,[20][21][22] and linear quadratic Gaussian (LQG) control [20,[23][24][25][26]. There are also some advanced control and intelligent control methods which can be found in the literature, for instance, sliding model control [27,28], model predictive control [29,30], fuzzy logic control [31,32] and neural network control [33][34][35]. Nevertheless, these control methods cannot suppress vibrations very efficiently because external disturbances are not considered in the design of these control methods, which are exactly the major cause of vibrations.…”
Section: Introductionmentioning
confidence: 99%