Manipulating an object is one of the most important tasks of robots. A lot of studies have been done on object control algorithms and optimizing control force. Most of these studies, however, deal with objects whose properties are previously known and do not take into account disturbances. In...

This paper brings together two areas of research that have received considerable attention during the last years, namely feedback linearization and neural networks.

A neural network is applied to the unsupervised pattern classification approach. Given a set of data consisting of unlabeled samples from several classes, the task of unsupervised classification is to label every sample in the same class by the same symbol such that the data set is divided into...

The dynamics of dipolar vortex solutions to the two-dimensional Euler equations is studied. A new type of nonlinear dipole is found and its dynamics in a slightly viscous system is compared with the dynamics of the Lamb dipole. The evolution of dipolar structures from an initial turbulent patch...

A learning control architecture which uses a multi-layer feed forward neural network with error back propagation is described. The architecture includes a feed forward estimator which is pre-trained and a feedback controller which continues to learn. The properties of the architectures are...

In this paper methods are presented for analysing the kinematics of walking machines using vector and screw algebra. Firstly, displacement analysis is covered; this includes methods for deriving the position vector of any joint in any leg, and for calculating the active joint displacements in any...

Takagi-Sugeno fuzzy models may contain redundant rules. The use of genetic algorithms for optimizing a performance index, which combines a modelling error and the number of rules in the model, allows the elimination of redundant rules and a subsequent adjustment of the weights of the rules...

This article deals with a problem that arises in the existing treatments of the nonequilibrium regime of mixed quantum/classical systems. It is known that a straightforward application of standard Langevin methods to such systems leads to a violation of the a priori random phases postulate of...

We report on bifurcation studies for the incompressible magnetohydrodynamic equations in three space dimensions with periodic boundary conditions and a temporally constant external forcing. Fourier representations of velocity, pressure and magnetic field have been used to transform the original...