This paper presents a data-driven model reduction by moment-matching approach to construct control-oriented models for point absorber device. The methodology chosen and developed generates which are input-to-state linear, with any nonlinear behaviour confined the output map. Such map is result of approximation procedure, where so-called moment system estimated via least-squares procedure. resul...

In this paper a new approach for invariant recognition of broken rectangular biscuits is proposed using fuzzy membership-distance products, called fuzzy moment descriptors. The existing methods for recognition of flawed rectangular biscuits are mostly based on Hough transform. However these methods are prone to error due to noise and/or variation in illumination. Fuzzy moment descriptors are le...

This paper addresses a performance analysis of affine moment invariants for 3D object recognition. Affine moment invariants are commonly used as shape feature for 2D object or pattern recognition. The current study proved that with some adaptation to multiple views technique, affine moments are sufficient to model 3D objects. In addition, the simplicity of moments calculation reduces the proces...