This paper presents a non-linear modeling framework that supports model development in
between empirical and mechanistic modeling. A model is composed of a number of local …

Human muscle can be made to contract by electrical stimulation. There are many well
established uses for this technique and new applications are being investigated. We are …

This report is a review of the main neuro-control technologies. Two main kinds of neuro-
control approaches are distinguished. One entails developing a single controller from a …

The incremental model reference adaptive polynomial controllers network (IMRAPCN) is a
self-organising nonlinear controller. This algorithm consists of a polynomial controllers …

The aim of this work is to explore the potential and enhance the capability of evolutionary
computation for the development of novel and advanced methodologies for engineering …

Two self-organising controller networks are presented in this study. The\Clustered Controller
Network"(CCN) uses a spatial clustering approach to select the controllers at each instant. In …

The paradigm of dynamic gain scheduling (DGS) is inspired by a biophysical model of the
mammalian baroreceptor reflex. The model uses Hodgkin-Huxley type neuron descriptions …