5th Annual NSF Cyber-Physical Systems PI Meeting.
file
Abstract:
The objective of this project is to develop a science of integration for cyber physical systems (CPS). The proposed research program has three focus areas: (1) foundations, (2) tools and tool architectures, (3) systems/experimental research. The project has pushed along several frontiers towards these overall objectives. In the following, we describe selected accomplishments:
file
Abstract:
As part of our CPS project, we have focused on the problem of model repair for cyber-physical systems. This work involves identifying constraints caused due to physical components during revision. We consider four types of constraints cyber-cyber, cyber-physical, physical-cyber and physical-physical. Based on the complexity limitations caused by these constraints we are developing efficient heuristics to mitigate the cost of model repair. We have also focused on extending revision to code level.
file
Abstract:
Our objective is to engineer vehicles that can collaborate on the use of a roadway. The protocols that define the collaboration must be provably safe, and the implementations of the protocols by different manufacturers must be guaranteed to inter-operate. As an example we are using a collaborative merge protocol, that assists a driver merging between two vehicles in an adjacent lane.
file
Abstract:
Central to the operation of cyber-physical systems (CPS) is accurate and reliable knowledge of time, both for meaningfully sensing and controlling the physical world state and for correct, high-performance and energy-efficient orchestration of computing and communication operations. Emerging applications that seek to control agile physical processes or depend on precise knowledge of time to infer location and coordinate communication, make use of time with diverse semantics and dynamic quality requirements.
file
Abstract:
This project develops a theoretical framework as well as software tools to support testing and verification of a Cyber-Physical System (CPS) within a Model-Based Design (MBD) process. The theoretical bases of the framework are stochastic optimization methods, and robustness notions of formal specification languages.
file
Abstract:
Modeling, analyzing and verifying real physical systems have long been a changeling task since the dynamics are usually nonlinear and the state spaces are always continuous. In this work, we use linear inequality LTL (iLTL), a temporal logic, to specify the behavior of nonlinear dynamical systems over time and propose a framework for statistical verification of temporal formulae on nonlinear systems using set oriented methods.
file
Abstract:
The SDB project seeks to design, engineer, and evaluate the foundational information substrate for cyberphysical systems in a concrete, canonical form - creation of efficient, agile, model- driven, human-centered building systems. Modern commercial buildings provide increasingly integrated Building Management Systems, but are typically closed or based on proprietary interfaces, are difficult to extend, and it is expensive to add new capabilities.
file
Abstract:
Traditionally, buildings have been viewed as mere energy consumers; however, with the new power grid infrastructure and distributed energy resources, buildings can not only consume energy, but they can also output energy. As a result, this project removes traditional boundaries between buildings in the same cluster or between the cluster and power grids, transforming individual smart buildings into NetZero building clusters enabled by cyber-support tools.
file
Abstract:
Our proposed research is motivated by two fundamental challenges that are traditionally studied in separate disciplines. The first key challenge is that in existing digital cameras, the functionalities of a camera are constrained by its size due to the optics and quantum nature of light. It remains a challenge to design a camera architecture that has both - a small form factor and has versatile functionalities, e.g.
file
Abstract:
The project focuses on swarming cyber-physical systems (swarming CPS) consisting of a collection of mobile networked agents, each of which has sensing, computing, communication, and locomotion capabilities, and that have a wide range of civilian and military applications. Different from conventional static CPS, swarming CPS rely on mobile computing entities, e.g., robots, which collaboratively interact with phenomena of interest at different physical locations.
