In recent years, a trend has emerged in which techniques of computational intelligence, learning control and automation have been integrated into intelligent control or automation systems on a variety of scales to meet the needs of implementation at the angle of products. Many computational intelligence and learning methods, including expert systems, fuzzy control, neural networks, genetic algorithm, artificial immune networks, swarm particle techniques, ACO, reinforcement learning and etc., have gained successful applications in many industrial control automation fields. In light of this emerging trend, we propose a special session, called “ fuzzy and intelligent control systems”, at CASE 2015, in order to promote the advanced theory, practice, and interdisciplinary aspects of integration of computational intelligence and learning control in the area of intelligent control and automation systems. This special session aims to disseminate high quality research results regarding not only the theoretic development in integration of computational intelligence theories and control techniques, but also related effective applications to some new and useful physical systems. In this proposal, particular attention will be paid to highly selected topics about novel fuzzy, intelligent control and learning methods for uncertain systems.
