Abstract: Growing demands on our civil infrastructure have heightened the need for smart structural components and systems whose behavior and performance can be controlled under a variety of loading scenarios such as high winds and earthquakes.

Abstract: The objective of this NSF-CPS Synergy proposal is to develop a distributed algorithmic framework, supported by a highly fault-tolerant software system, for executing critical transmission-level operations of the North American power grid using gigantic volumes of Synchrophasor data.

Abstract: The project will demonstrate a holonic multi-agent system architecture (HMSA) capable of adaptively controlling future electrical power distribution systems, which are expected to include a large number of renewable power generators, energy storage devices, and advanced metering and control devices. The project will produce a general, extensible, and secure cyber architecture based on holonic multi-agent principles to support adaptive PDS.

Abstract: The project pursues two major goals addressing the verification of cyber-physical systems. Firstly, one goal of this project is to develop theory, practice, and applications of verification techniques for distributed hybrid systems with flexible system structures that can change by reconfiguring the system.

Abstract: This research proposal focuses on event-­‐based information acquisition, state estimation and control in the context of high dimensional cyber physical systems. In particular, as part of the cyber system a (set of) decision maker(s) or agents is responsible for the acquisition of information, learning, and control about the underlying physical system of interest. The information acquisition process may be instigated or adapted based on events in the systems.

Abstract: The project is an on‐going collaborative effort between Massachusetts Institute of Technology and University of Pennsylvania since 2011.

Abstract: The present day technology falls short in offering centimeter scale mobile robots that can function effectively under unknown and dynamic environmental conditions. Insects, on the other hand, exhibit an unmatched ability to navigate through a wide variety of environments and overcome perturbations by successfully maintaining control and stability.

Abstract: This cross-disciplinary project brings together a team of engineering and computer science researchers to create, validate, and demonstrate the value of new techniques for ensuring that systems composed of combinations of hardware, software, and people are designed to operate in a truly synergistic and safe fashion.

Abstract: Ongoing breakthroughs in nationally important research areas like Verification and Artificial Intelligence depend on continuing advances in high-performance automated theorem proving tools. The typical use of these tools is as backends: application problems are translated by an application tool into (typically very large and complex) logic formulas, which are then handed off to a logic solver. Different tradeoffs between linguistic expressiveness and the difficulty of solving the resulting problems give rise to different logics.