Abstract
This paper presents two new fault models for networked systems. These fault models are more realistic and generalized for networked systems in the sense that they can represent the effects of fault at the node and network levels. At the network layer, the uncertain effects of the network lines are modeled using a Markov chain with complex transition probabilities simultaneously with the stochastic behavior of the network using a Bernoulli process. A new output feedback-based controller, which is two-mode dependent and considers network uncertainties and output measurements for gain calculation, is presented. Using the tools of robust control and stochastic stability, linear matrix inequality-based sufficient conditions are derived. The proposed controller successfully maintains the system’s performance by tolerating the effects of simultaneous sensor and actuator faults, ensuring the stability of networked loops. Simulation results verify the applicability of the presented fault-tolerant control against multiple simultaneous faults.
| Original language | English |
|---|---|
| Article number | 996 |
| Journal | Mathematics |
| Volume | 11 |
| Issue number | 4 |
| DOIs | |
| State | Published - Feb 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023 by the authors.
Keywords
- Markovian jump system
- fault modeling
- fault-tolerant control
- networked systems
- stochastic stability
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- General Mathematics
- Engineering (miscellaneous)