Recent Advances in Learning and Control

The 14 papers, written by international specialists in the field, cover a variety of interests within the broader field of learning and control. The editors have grouped these into the following 3 categories:

• learning and computational issues

• learing for communication and identification

• applications of learning and control

The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. Specific topics include: a look at progress toward a unified view of communication and control; a new type of neural computation; a review of 50 years of the Pontryagin maximum principle; the control of smart materials and the uses of monotone systems in systems biology.

The reader will benefit from the expert participants’ ideas on the exciting new approaches to control and system theory and their predictions of future directions for the subject that were discussed at the workshop.