Soft Computing in Systems and Control Technology

Abstract

Neural networks in systems identification and control - supervised learning in multilayer perceptions - the back-propagation algorithm identification of two-dimensional state space discrete systems using neural networks neural networks for control neuro-based adaptive regulator local model networks and self-tuning predictive control fuzzy and neuro-fuzzy systems in modelling, control and robot path planning - an on-line self constructing fuzzy modelling architecture based on neural and fuzzy concepts and techniques neuro-fuzzy model-based control fuzzy and neurofuzzy approaches to mobile robot path and motion planning under uncertainty genetic-evolutionary algorithms - a tutorial overview of genetic algorithms and their applications results from a variety of genetic algorithm applications showing the robustness of the approach evolutionary algorithms in computer-aided design of integrated circuits soft computing applications - soft data fusion application of neural networks to computer gaming coherent neural networks and their applications to control and signal processing neural, fuzzy and evolutionary reinforcement learning systems - an application case study neural networks in industrial and environmental applications.