at which control information is made available will be more crucial than the time taken to build and update the environmental model. For these reasons it would seem natural to build a dynamic vision system for autonomous navigation with two loosely connected components with very different temporal rates that reflect their required behaviours. This approach follows roughly the ideas of a subsump...

Feed Forward Neural Networks (FFNNs) are computational techniques inspired by the physiology of the brain and used in the approximation of general mappings from one nite dimensional space to another. They present a practical application of the theoretical resolution of Hilbert's 13 th problem by Kolmogorov and Lorenz, and have been used with success in a variety of applications. However, as the...

We introduce the Learning Feed-Forward Control configuration. In this configuration, a B-spline neural network is contained, which suffers from the curse of dimensionality. We propose a method to avoid the occurrence of this problem. 1 Introduction In order to design a conventional feedback controller, like a state-feedback controller, detailed knowledge of the process under control is required...

The LHC operational cycle is comprised of several phases such as the ramp, the squeeze and stable beams. During the ramp and squeeze in particular, it has been observed that the behaviour of key LHC beam parameters such as tune, orbit and chromaticity is highly reproducible from fill to fill. To reduce the reliance on the crucial feedback systems, it was decided to perform fill-to-fill feedforw...

ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...

Mit Hilfe der Flachheitsanalyse nichtlinearer dynamischer Systeme wird es erstmals möglich, eine geschlossene analytische Formel zur Berechnung von Steuertrajektorien für BatchReaktoren direkt aus den verfahrenstechnischen Spezifikationen des Reaktors herzuleiten. Bisher wurde diese Theorie nur dazu genutzt, spezielle Lösungen für eine einzelne Anwendung zu finden. Jetzt ist es erstmals gelunge...

This paper discusses feed-forward chains near points of synchrony-breaking Hopf bifurcation. We show that at synchrony-breaking bifurcations the center manifold inherits a feed-forward structure and use this structure to provide a simplified proof of the theorem of Elmhirst and Golubitsky that there is a branch of periodic solutions in such bifurcations whose amplitudes grow at the rate of λ 1 ...

A feed-forward network can be viewed as a graphical representation of parametric function which takes a set of input values and maps them to a corresponding set of output values (Bishop, 1995). Figure 1 shows an example of a feed-forward network of a kind that is widely used in practical applications. Nodes in the outputs hidden units inputs bias bias x 0 x 1 x d y 1 z 1 z 0 y c z M Figure 1: A...