Taxonomic Search: Xenofon Koutsoukos

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Visible to the public Foundations Of Resilient CybEr-physical Systems (FORCES)

Abstract:

Cyber-Physical Systems (CPS) are being increasingly deployed in critical infrastructures such as electric-power, water, transportation, and other networks. These deployments are facilitating real-time monitoring and closed-loop control by exploiting the advances in wireless sensor-actuator networks, the internet of "everything," data-driven analytics, and machine-to-machine interfaces. CPS operations depend on the synergy of computational and physical components.

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Visible to the public Science of Cyber-Physical System Integration

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:

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Visible to the public System Science of SecUrity and REsilience for Cyber-Physical Systems (SURE)

ABSTRACT

The project on the System Science of SecUrity and REsilience for cyber-physical systems (SURE) will develop foundations and tools for designing, building, and assuring cyber-physical systems (CPS) that can maintain essential system properties in the presence of adversaries. The technology base of SURE will provide CPS designers and operators with models, methods, and tools that can be integrated with an end-to-end model-based design flow and tool chain.

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Visible to the public Distributed Sampling Rate Adaptation for Networked Control Systems

Authors: Jia Bai, Emeka P. Eyisi, Yuan Xue and Xenofon D. Koutsoukos Appeared in: The First International Workshop on Cyber-Physical Networking Systems (CPNS) in conjunction with INFOCOM, Shanghai, China, April 15 2011, pp. 6. Abstract: Building networked control systems is a promising direction that promotes the evolution of the traditional control systems. The ability of using different sampling rates in control systems provides the flexibility for adapting their resource needs based on the dynamic networking environment.