The hypothesis of this research is that a successful cyber-physical system will need to be a learning agent, learning the properties of its sensors, effectors, and environment from its own experience, and adapting over time. Inspired by human developmental learning, we believe that foundational concepts such as Space, Object, Action, etc., are essential for such a learning agent to abstract and control the complexity of its world. To bridge the gap between continuous interaction with the physical environment, and discrete symbolic descriptions th

The principal objective of this project is the development of novel control architectures and computationally efficient controller design algorithms for distributed cyber-physical systems with decentralized information infrastructures and limited communication capabilities.  Interest is in distributed cyber-physical systems where the system components are able to communicate with one another.

This project seeks to develop a systematic approach to facilitate the efficient codesign of both the control (physical) and computer (cyber) sides of a cyber-physical system (CPS). Designing a CPS requires substantial inter-disciplinary activity.