In recent years, there has been a growing recognition in integration of learning and control that significant efforts need to be made to improve performance of controlled or automation or autonomous systems. This technical committee will promote the theory, practice, and interdisciplinary aspects of integration of learning and control in the areas of control, intelligent systems, and autonomous systems.
Existing achievements in machine learning have prompted industries to recognize that control techniques simply based on model-free learning mechanisms will not promote control systems performance. The theoretic development in integration of learning theories and control techniques, and related effective applications to individual or cooperative autonomous systems will significantly benefit the related industries and research areas, such as autonomous systems, intelligent systems, intelligent robots, intelligent cooperation of multiple agents, unmanned vehicles, bio-mimetic systems and etc. This technical committee will focus on the theoretical development in integration of learning and control and its applications to some advanced research areas and commercial products. Please join us and make a significant contribution to our society.