Indicative Topics/Areas In recent years, a trend has emerged in which techniques of machine learning and intelligent control have been integrated into autonomous systems on a variety of scales to meet the needs of implementation at the angle of products. Many learning methods, such as expert systems, reinforcement learning, mimetic algorithms, and support vector machines and so on, have been investigated by a finite number of researchers. Several intelligent control approaches, including fuzzy control, neural networks, genetic algorithm, artificial immune networks, swarm particle techniques, and etc., have gained successful applications in many fields. In light of this emerging trend, it is timely important to propose a special session, called “ intelligent learning in control systems, at SMC 2016, in order to promote the advanced theory, practice, and interdisciplinary aspects of integration of learning and control in the area of intelligent and autonomous systems. This special session aims to disseminate high quality research results regarding not only the theoretic development in integration of learning theories and control techniques, but also related effective applications to individual or cooperative autonomous systems. Aside from that, this session is also aimed to facilitate interactions among researchers and practitioners. In this proposal, particular attention will be paid to highly selected topics about intelligent methods and control for several kinds of systems, including intelligent mobile robots, intelligent systems, intelligent vehicles, intelligent control systems and etc.