Artificial Intelligence (AI) techniques are known for its ability in tackling problems found to be unyielding to traditional mathematical methods. A recent addition to these techniques are the Computational Intelligence (CI) techniques which, in most cases, are nature or biologically inspired techniques. Different CI techniques found their way to many control engineering applications, including...

ystem identification refers broadly to the problem of developing empirical mathematical models of systems based on excitation and response measurements. Such models are useful for enhancing physical understanding; analyzing system properties; and performing simulation, prediction, filtering, state estimation, monitoring, and fault diagnosis as well as control. Practical interest in system ident...

this paper presents the application of three main artificial neural networks (anns) in damage detection of steel bridges. this method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. the changes in structural response is used to identify the states of structural damage. to circumvent the difficulty arising from the non-linear n...

conclusions although previous studies have shown that a-g transition mutations in 23 srrna gene (domain v) are the main reason for the occurrence of high level macrolides resistance in b. pertussis, however, the mentioned single nucleotide polymorphisms (snps) have not been detected in our resistant strain. this is the first report of high level macrolide resistant b. pertussis, without snps in...

in this study techniques for laboratory identification of dermatophyte fungi through protoplast hybridization were established. firstly, auxotrophic mutants of different species of microsporum and trichophyton were induced and identified. secondly, protoplasts from these mutants were isolated by digestion of their mycelium with novozyme 234 using caci, (o.4m) as an osmotic stabilizer and glycin...

Electrocardiographic (ECG) signals record the heart’s electrical activity over time. These signals have typically been assessed for clinical purposes providing a fair evaluation of the heart’s condition. However, it has been shown recently that they also convey distinctive information that can be used for user identification. In this paper we explore these signals for user identification purpos...

This paper summarize the principles main methods for structural dynamic identification and presents the experiences in using operational modal analysis techniques in Civil Engineering field. Shown black-box modelling of system for describes the input-output relation of the system and given its application to 11 storey reinforced concrete building. The monitoring, experimental details and data-p...

Model-based engineering becomes more and more important in industrial practice. System identification is a vital technology for producing the necessary models, and has been an active area of research and applications in the automatic control community during half a century. At the same time, increasing demands require the area to constantly develop and sharpen its tools. This paper deals with h...

Received Jan 14, 2013 Revised Mar 19, 2013 Accepted Mar 28, 2013 A comparative study of methods for fractional system identification is presented in this paper. The fractional system is modeled by the help of a non integer integrator which is approximated by a J+1 dimensional modal system composed of an integrator and first order systems. This identification method is compared to other techniqu...