A CPS is a system in which computer-based (cyber) technology is combined with all kinds of physical systems, such as planes and robotic-surgeons. CPSs require integration (in industry and academia) of different types of knowledge from many different domains. CPSs are built from often inaccurate, undependable components, and operate in harsh and unpredictable environments. The cyber domain, interfaces, and the physical domain are tightly interwoven and networked (distributed) and hence cannot be designed and optimized individually. The goal of this project is to create a general CPS design-science that makes the design of every CPS simpler, faster, and more dependable, while at the same time reducing the cost and the required expertise level. This project gives rise to a unified theory that can allow for specification, modeling, design, optimization, and verification of CPSs on different levels of design abstraction and different steps of projection, even across boundaries between varied technologies. The project does bridge the gap between the continuous-time physical domain and the discrete timed cyber system. This project has a broad and profound impact in scientific, engineering, industrial, and academic communities. By enabling a fundamentally efficient design of CPSs, the most limiting bottleneck in design technology is eliminated, paving the way for many new applications and jobs with significant economic and social impact. This project contributes to the on-line educational endeavors currently underway, allowing cross education in different disciplines of complex CPS and speeding up development of new CPS programs in engineering and computer science.

This project develops a framework for design automation of cyber-physical systems to augment human interaction with complex systems that integrate across computational and physical environments. As a design driver, the project develops a Body/Brain Computer Interface (BBCI) for the population of functionally locked-in individuals, who are unable to interact with the physical world through movement and speech. The BBCI will enable communication with other humans through expressive language generation and interaction with the environment through robotic manipulators. Utilizing advances in system-level design, this project develops a holistic framework for design and implementation of heterogeneous human-in-the-loop cyber-physical systems composed of physically distributed, networked components. It will advance BBCI technology by incorporating context aware inference and learning of task-specific human intent estimation in applications involving semi-autonomous robotic actuators and an efficient wireless communication framework. The results of this project are expected to significantly speed up the design of complex cyber-physical systems. By accelerating the path from idea to prototype, this work shortens the time frame of and cost of development for assistive technology to improve the quality-of-life for functionally locked-in individuals. This project establishes an open prototyping platform and a design framework for rapid exploration of other novel human-in-the-loop applications. The open platform will foster undergraduate involvement in cyber-physical systems research, building confidence and expertise. In addition, new activities at the Museum of Science in Boston will engage visitors to experiment with systematic design principles in context of a brain computer interface application, while offering learning opportunities about basic brain functions.

Effective response and adaptation to the physical world, and rigorous management of such behaviors through programmable computational means, are mandatory features of cyber physical systems (CPS). However, achieving such capabilities across diverse application requirements surpasses the current state of the art in system platforms and tools. Current computational platforms and tools often treat physical properties individually and in isolation from other cyber and physical attributes. They do not adequately support the expression, integration, and enforcement of system properties that span cyber and physical domains. This results in inefficient use of both cyber and physical resources, and in lower system effectiveness overall. This work investigates novel approaches to these important problems, based on modularizing and integrating diverse cyber-physical concerns that cross-cut physical, hardware, instruction set, kernel, library, and application abstractions. The three major thrusts of this research are 1) establishing foundational models for expressing, analyzing, enforcing, and measuring different conjoined cyber-physical properties, 2) conducting a fundamental re-examination of system development tools and platforms to identify how different application concerns that cut across them can be modularized as cyber-physical system aspects, and 3) developing prototype demonstrations of our results to evaluate further those advances in the state of the art in aspect-oriented techniques for CPS, to help assess the feasibility of broader application of the approach. The broader impact of this work will be through dissemination of academic papers, and open platforms and tools that afford unprecedented integration of cyber-physical properties.