Abstract: Generally, a cyber-physical-system (CPS) is one that combines computational and physical entities in a unified design effort. The design of CPSs needs good understanding of both subsystems, as small changes in the physical subsystem (PS) or the cyber subsystem (CS) may have significant consequences with respect to the overall system performance.

Abstract: Airborne networking utilizes direct flight-to-to-flight communication for flexible information sharing, safe maneuvering, and coordination of time-critical missions. It is challenging because of the high mobility, stringent safety requirements, and uncertain airspace environment. This project uses a co-design approach that exploits the mutual benefits of networking and decentralized mobility control in an uncertain heterogeneous environment.

Abstract:  The project seeks to develop cyber-enabled exercise machines (CEEMs), which will be characterized by: i. intrinsic safety, ii. an extended use of sensing and estimation of biomechanical data, iii. real-time adaptation and guidance to the user to achieve optimal exercise. The project will develop optimality criteria on the basis of collective activation of target muscle groups.

Abstract:  This project addresses urgent challenges in high confidence validation and verification of automotive vehicles due to on-going and anticipated introduction of advanced, connected and autonomous vehicles into mass production. Since such vehicles operate across both physical and cyber domains, faults can occur in traditional physical components, in cyber components (i.e., algorithms, processors, networks, etc.), or in both.

Abstract:  The goal of the proposed research is to advance the science of cyber-physical systems by more explicitly tying sensing, perception, and computing to the optimization and control of physical systems whose properties are variable and uncertain. The CPS platform to be studied is that of a bipedal robot locomoting over granular ground material with uncertain physical properties (sand, gravel, dirt, etc.).

Abstract: Many cyber-physical systems(CPS) deployed in a number of applications ranging from airport security systems and transportation systems to health-care and manufacturing rely on a wide variety of sensors for prediction and control. In many of these systems, acquisition of information requires the deployment and activation of physical sensors which can result in increased expense or delay.

Abstract: This project aims to develop the theory and technology for a new frontier in cyber-physical systems: cyber-physical manipulation. The ultimate goal of cyber-physical manipulation is to enable a group of hundreds or thousands of individual robotic agents to collaboratively explore an environment, manipulate objects in that environment, and transport those objects to desired locations.

Abstract: This year, we continued our research effort on designing optimal decentralized monitoring and control mechanisms for networked infrastructure systems providing demand response services by first focusing on the example of intelligent electric transportation systems. The results are highlighted in this poster. Electric Vehicles (EV) are emerging as one of the primary solutions to make electricity demand elastic.

Abstract: At a high level, the goal of this project is to collect data on how drivers approach and drive through intersections.  Research at the University of Michigan concerns the development of the driving simulator scenarios and testing human subjects.  In addition, considerable related research is being conducted on research methods.  At MIT, models based on the research at Michigan are being developed.  This abstract concerns those part of the project conducted at the University of Michigan. 

Abstract: The goal of this project is to study the fundamental principles (dynamics and control) in using clinical magnetic techniques for accurately guiding agglomerations of magnetic nanoparticles in targeted drug delivery. The innovative technology component of this study is the dual use of the magnetic techniques as an imaging modality for both diagnostics and feedback control signal purposes and as a propulsion modality that generates the control forces to accurately guide agglomerations of magnetic nanoparticles.