evolving models have found applications in many real world systems. in this paper, potentials of the evolving linear models (elms) in tracking control design for nonlinear variable structure systems are introduced. at first, an elm is introduced as a dynamic single input, single output (siso) linear model whose parameters as well as dynamic orders of input and output signals can change through ...

Evolving models have found applications in many real world systems. In this paper, potentials of the Evolving Linear Models (ELMs) in tracking control design for nonlinear variable structure systems are introduced. At first, an ELM is introduced as a dynamic single input, single output (SISO) linear model whose parameters as well as dynamic orders of input and output signals can change through ...

el-jardali and fadllallah provide an excellent summary of the many dimensions of knowledge use, and the breath of issues and activities that must be considered if knowledge is to be put into practice. however, reliance on a continuum (rather than a cyclical, multidirectional, systems) model creates a number of limitations, particularly when promoting evidence-informed action in the areas of hea...

El-Jardali and Fadllallah provide an excellent summary of the many dimensions of knowledge use, and the breath of issues and activities that must be considered if knowledge is to be put into practice. However, reliance on a continuum (rather than a cyclical, multidirectional, systems) model creates a number of limitations, particularly when promoting evidence-informed action in the areas of hea...

This paper introduces a method based on Evolving Connectionist Systems (ECOS) for person verification tasks. The method allows for the development of models of persons and their on-going adjustment based on new speech and face images. Some experimental person verification models based on speech and face image features are developed based on this method where speech and face image information ar...

Abstract. Polycrystalline materials undergoing coarsening can be represented as evolving networks of grain boundaries, whose statistical characteristics determine macroscopic materials properties. The process of formation of various statistical distributions is extremely complex and is strongly influenced by topological changes in the network. This work is an attempt to elucidate the role of th...

Simple, linear classical controllers are highly popular in industrial applications. However, most controllers have to be tuned and manually re-tuned in a trial and error process a t every operating level. This is particularly difficult when the plant to be controlled is significantly nonlinear. The deficiency in localised linearised models associated with ‘Local Model Networks’ has been overcom...