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Uncertainty modeling for robustness analysis of failure detection & accommodation systems
Conference proceeding   Open access

Uncertainty modeling for robustness analysis of failure detection & accommodation systems

C M Belcastro, B C Chang and ACC
PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6, v 1-6, pp 4776-4782
01 Jan 2002
url
https://doi.org/10.1109/acc.2002.1025414View
Published, Version of Record (VoR)CC0 V1.0 Open

Abstract

Automation & Control Systems Computer Science Computer Science, Artificial Intelligence Engineering Engineering, Electrical & Electronic Science & Technology Technology
Formal robustness analysis of failure detection and accommodation systems could play an important role in their validation and ultimate certification. However, formulation of linear fractional transformation (LFT) models can be very difficult for complex parameter-dependent systems. This paper presents a matrix-based computational approach that can be implemented in software for obtaining LFT models of complex systems involving parametric uncertainties, faults, and failures. Several examples are presented, including, a modeling framework for performing robustness analyses of faulty uncertain systems and failure detection and accommodation systems.

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Web of Science research areas
Automation & Control Systems
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
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