This paper presents a study on improving the estimation accuracy and convergence rate of hysteresis modeling MFC actuators using mutation enhanced differential evolution (MEDE) algorithm, modified version algorithm. The proposed MEDE algorithm uses three strategies, i.e., best, rand, pbest. To model secondary path smart flexible beam with actuators, Hammerstein that combines an asymmetric Bouc-...

This paper established the equivalent linear motion equation of TRMD. To further investigate potential application TRMD in nonlinear vibration, Bouc-wen model structure with is provided, vibration control efficacy and hysteretic characteristics main under harmonic excitation are analyzed. The results show that suppresses displacement while loop energy dissipation capacity itself reduced. For so...

Hysteresis effect degrades the positioning accuracy of a piezostage, and hence the nonlinearity has to be suppressed for ultrahigh-precision positioning applications. This paper extends least squares support vector machines (LS-SVM) to the domain of hysteresis modeling and compensation for a piezostage driven by piezoelectric stack actuators. A LS-SVM model is proposed and trained by introducin...

Building on work by Bouc and by Shareshian and Wachs, we provide a toolbox of long exact sequences for the reduced simplicial homology of the matching complex Mn, which is the simplicial complex of matchings in the complete graph Kn. Combining these sequences in different ways, we prove several results about the 3-torsion part of the homology of Mn. First, we demonstrate that there is nonvanish...

The hysteretic behaviour is an essential feature of many physical systems. Such a feature is conveniently accounted for in hysteretic systems modelling through the well known nonlinear Bouc-Wen equations. But these involve several unknown parameters and internal signals that are not all accessible to measurements. These difficulties make the identification of hysteretic systems a challenging pr...

In this paper the performance of Artificial Neural Networks (ANNs) and Adaptive NeuroFuzzy Inference Systems (ANFIS) in simulating the inverse dynamic behavior of MagnetoRheological (MR) dampers is investigated. MR dampers are one of the most applicable methods in semi active control of seismic response of structures. Various mathematical models are introduced to simulate the dynamic behavior o...