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The paper deals with the design of neural based soft sensors to improve product quality
monitoring and control in a refinery by estimating the stabilized gasoline concentration (C5) …

In this paper, a virtual instrument for the estimation of octane number in the gasoline
produced by refineries is introduced. The instrument was designed with the aim of replacing …

For ground-level ozone (O3) prediction, a predictive model, with reliable performance not
only on non-polluted days but, more importantly, on polluted days, is favored by public …

This paper describes a soft computing approach to control a semiactive sky-hook
suspension system. The fuzzy controller has been optimized by means of a genetic …

This book is part of the publisher's softcover textbook series on Advanced Textbooks in
Control and Signal Processing. See Ziegel (2002) for a review of Fortuna et al.(2001). Fault …

This brief presents an electric model of an on/off solenoid valve used to regulate brake
pressure in anti-lock braking control systems (ABS). The model has been derived with the …

Estimation and Approximation plays an important role in planning for future. People
especially the business leaders, who understand the significance of estimation, practice it …

This paper proposes a novel approach based on the use of wavelet functions to model air
pollution time series. One peculiarity of the approach is that of combining the use of wavelets …

A sensor validation strategy based on soft computing techniques to isolate and classify
some faults occurring in the measurement system of a Tokamak fusion plant is described …