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| Laboratories Overview |
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| Electromechanical Systems (PSU) |
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| Networked Robotic Systems Laboratory (NRSL) |
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| Reliable Control of Future Generation Rotorcraft (PSU) |
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| Gas Turbine Engine System Simulation (PSU) |
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The objective of the Complex Systems Failure (CSF) Collaboratory is to
experimentally validate the results of theoretical research and
disseminate a knowledge base of science and technology to enhance
dependability of complex engineering systems that include both
human-operated and unmanned weapon systems and platforms. It envisions a
fundamentally new approach to anomaly characterization and real-time
decision-making in complex dynamical systems to achieve pervasive fault
tolerance and self-healing control capabilities based on the real-time
information. Dependability of complex systems is achieved by identifying
and mitigating the origins of chaos and disorder at a very early stage
through dynamic coordination and control of the critical subsystems. At
present, the major role of the CSF Collaboratory is to support the
above-mentioned ARO MURI project; accordingly, the laboratories are being
expanded with state-of-the-art apparatuses. Extensive experimental
research is being conducted to validate the theoretical results, for which
special-purpose laboratory apparatuses have been (and also are being)
constructed. The Collaboratory consists of the following laboratories:
The Complex Systems Failure (CSF) Collaboratory has been constructed over the past ten years under research and equipment grants from the Army Research Office (ARO), NASA Glenn Research Center (GRC), the National Science Foundation (NSF), and NASA Langley Research Center (LaRC). The Collaboratory has been significantly expanded over the last four years under a five-year Multidisciplinary University Research Initiative (MURI) grant on Mathematics of Failures [ARO Grant No. DAAD19-01-1-0646; Program Manager: Dr. Mou-Hsiung (Harry) Chang]. The MURI grant has been supported by four additional grants under the Defense Research Instrumentation Program (DURIP). |
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