Abstract
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.
Original language | English |
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Pages (from-to) | 14-28 |
Number of pages | 15 |
Journal | IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans |
Volume | 43 |
Issue number | 1 |
DOIs | |
State | Published - 1 Jan 2013 |
Keywords
- Fault diagnosis and isolation
- Hybrid systems
- Model based
- Power net (PN)
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering