Distributed Cyber-Physical Systems and Sensorial Materials

Improving autonomy and robustness through artificial intelligence concepts

JournalIndustrie Management
Issue Volume 29, 2013, Edition 1, Pages 24-28
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Abstract

Today sensors and actuators gain increased importance in industrial production processes. Traditionally centralized processing architectures are used for sensor data processing and actuator control. Increasing sensor and actuator densities require new decentralized and distributed processing methods and architectures. Artificial Intelligence, part of computer science, can contribute to robustness and autonomy aspects concerning data processing and distribution.

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