Energy-Based Mode Tracking of Hybrid Systems for FDI
| Autor: | Shai Arogeti, Chang Boon Low, Danwei Wang, Ming Luo |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Computer science
Mode (statistics) Condition monitoring Tracking (particle physics) Fault detection and isolation Computer Science Applications Human-Computer Interaction Control and Systems Engineering Control theory Hybrid system Graph (abstract data type) Electrical and Electronic Engineering Bond graph Software Energy (signal processing) |
| Zdroj: | IEEE Transactions on Systems, Man, and Cybernetics: Systems. 43:14-28 |
| ISSN: | 2168-2232 2168-2216 |
| DOI: | 10.1109/tsmca.2012.2193879 |
| Popis: | Hybrid systems operate in various states, which are represented by a set of modes. In each mode, the system is governed by continuous dynamics, and different modes correspond to different continuous models. For hybrid systems, model-based fault detection and isolation is a challenging task due to the fact that the system's prevailing dynamical model and its current mode (discrete state) are mutually dependent and intertwined. In this paper, a new energy-based approach is introduced for mode tracking of hybrid systems, and its associated systematic analysis is based on a hybrid bond graph. Each system's mode is characterized by a concise energy relation that allows mode identification in the new mode tracking method. |
| Databáze: | OpenAIRE |
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