-Robust control has long been the purview of quantitative linear control techniques, while qualitative, symbolic control has been deemed more suitable to obtaining complex control objectives that require only low output precision. The intelligent techniques of Fuzzy control have, however, shown promise in obtaining results comparable to those obtained from H∞ and H2 robust control techniques. O...

A hierarchical intelligent control system paradigm for a visionbased autonomous driving scheme is presented for a leader-Following HMMWV. The paper shows how fuzzy logic is employed to represent knowledge at the organizational level, resolve conflicting preceived information and plan the best path for the vehicle. After introducing the methodology, simulation and experimental aspects for realiz...

Neuro-fuzzy systems have recently gained a lot of interest in research and application. These are approaches that learn fuzzy systems from data. Many of them use rule weights for this task. In this paper we discuss the innuence of rule weights on the interpretability of fuzzy systems. We show how rule weights can be equivalently replaced by modiications in the membership functions of a fuzzy sy...

VR as a source of controllable visual and audio stimulations, which initiate and induce different kinematical, psychological, cognitive, and emotional reactions from the subject, is more than adequate state-of-the-art technology for assessment of whiplash injuries. A series of kinematical tests, which are integrated in Whiplash Injury Advanced Control Software (WIACS) package, provide assessmen...

The paper concerns fuzzy logic programming. As an example, we show that is not restrictive to confine ourselves to fuzzy Herbrand interpretations in giving a semantics for fuzzy programs. Also, we show that the resulting apparatus gives a unifying theoretical framework for fuzzy control.

The general mathematical problem of fuzzy control is an interpolation problem: a list of fuzzy input-output data, usually provided by a list of linguistic control rules, should be realized as argument-value pairs for a suitably chosen fuzzy function. However, contrary to the usual understanding of interpolation, in the actual approaches this interpolation problem is considered as a global one: ...

Erich Peter Klement, Endre Pap Editors LINZ 2004 — MATHEMATICS OF FUZZY SYSTEMS

The paper discusses the problem of rule weight tuning in neuro-fuzzy systems with parameterized consequences in which rule weights and the activation of the rules are not interchangeable. Some heuristic methods of rule weight computation in neuro-fuzzy systems with a hierarchical input domain partition and parameterized consequences are proposed. Several heuristics with experimental results sho...