Adaptive Systems Control

Most factories today rely on complex networks of disconnected production equipment, leading to inefficiencies in control systems such as temperature control, power usage, and material flow. ML techniques such as image recognition, regression trees, and time delay neural networks can help optimize the control and efficient automation of industrial systems.

Background Readings Online Courses and Course Materials Conferences, Journals, and Professional Organizations Libraries and Tools Data Future Directions Relevant Groups and Organizations References