A substantial fraction of the mysteries associated with crack extension might be eliminated if
the description of fracture experiments could include some reasonable estimate of the stress …

In recent years unmanned vehicles have grown in popularity, with an ever increasing number
of applications in industry, the military and research within air, ground and marine domains…

This paper introduces a fast algorithm for moving window principal component analysis (MWPCA)
which will adapt a principal component model. This incorporates the concept of …

The identification of non-linear systems using only observed finite datasets has become a
mature research area over the last two decades. A class of linear-in-the-parameter models …

The aim of this paper is to report the preliminary development of an automatic collision avoidance
technique for unmanned marine craft based on standardised rules, COLREGs, defined …

The identification of nonlinear dynamic systems using linear-in-the-parameters models is
studied. A fast recursive algorithm (FRA) is proposed to select both the model structure and to …

The extension of the bootstrap filter to the multiple model target tracking problem is considered.
Bayesian bootstrap filtering is a very powerful technique since it represents samples by …

Neural networks are an exciting technology of growing importance in real industrial situations,
particularly in control and systems. This book aims to give a detailed appreciation of the …

This paper investigates in detail the possible application of neural networks to the modeling
and adaptive control of nonlinear systems. Nonlinear neural-network-based plant modeling …

A neural network (NN) based regulator for nonlinear, multivariable turbogenerator control is
presented. A hierarchical architecture of an NN is proposed for regulator design, consisting …