This paper presents the dynamic modeling and fuzzy sliding mode control for rigid-flexible multibody systems. To investigate the dynamic stiffening of rigid-flexible systems, a firstorder approximate model of a flexible spacecraft system is formulated by using Hamilton’s principles and assumed mode method, taking into account the second-order term of the coupling deformation field. For highly f...

Recently, several fuzzy ontology-based solutions have been proposed in the domain of web-based applications to reduce the manual work load of daily activities. However, because of the explosive heterogeneity in the current internet structure, the performance of the available solutions has been decreasing drastically. We propose an integrated secure type-2 fuzzy ontology multi-agent platform (ST...

In this paper neuro-fuzzy synergism is applied to implement content sequencing in adaptive hypermedia systems. The level of understanding of the learner is used to construct lessons adapted to the learner’s knowledge goals and level of expertise on the domain concepts s/he has already studied. The learner’s evaluation is based on defining appropriate fuzzy sets and relate learner’s response wit...

Basically, the sharpness and contrast of the video images captured in dusty weather will be significantly degraded and diminished. This paper proposes a novel image enhancement method. First convert the degraded image into fuzzy domain to global PAL fuzzy enhancement; then band-limited histogram equalization is adopted for enhancing the local component in the spatial domain; finally POSHE algor...

In order to exploit the massive image information and to handle overload, techniques for analyzing image content to facilitate indexing and retrieval of images have emerged. In this paper, a low-level and high-level image semantic annotation based on Fuzzy Petri Net is presented. Knowledge scheme is used to define more general and complex semantic concepts and their relations in the context of ...

controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. one of the common approaches for process control is applying shewhart's quality control charts. neuro-fuzzy networks, as one of the branches of artificial intelligence (ai), can play an effective role in the enforcement of process control's common...

This paper deals with the problem of building a common knowledge body for a set of domain ontologies in order to enable their sharing and integration in a collaborative framework. We propose a novel hierarchical algorithm for concept fuzzy set representation mediated by a reference ontology. In contrast to the original concept representations based on instances, this enables the application of ...

This paper deals with the problem of building a common knowledge body for a set of domain ontologies in order to enable their sharing and integration in a collaborative framework. We propose a novel hierarchical algorithm for concept fuzzy set representation mediated by a reference ontology. In contrast to the original concept representations based on instances, this enables the application of ...