Abstract
In this paper, we provide a framework to achieve interval estimation for nabla Caputo fractional order linear time-invariant (LTI) systems in the presence of bounded model uncertainties. Interval observers based on fractional order positive systems theory are designed by possessing desired stable and positive error dynamics. Specifically, the basic concepts and conditions for guaranteeing stability and positivity of the considered systems are derived systematically by finding the system responses. Using the developed criteria and the structure of Luenberger-type observers, a classic interval observer is designed directly which further extends the system classes of interval estimation. Besides, due to the possible absence of a gain matrix which ensures positivity requirement, a more general interval observer design scheme is given by exploiting the coordinate transformation technique. Finally, some simulated cases including fault detection and fractional order circuits related scenarios are developed to validate the usefulness and practicality of the framework.
| Original language | English |
|---|---|
| Pages (from-to) | 83-94 |
| Journal | ISA Transactions |
| Volume | 131 |
| Online published | 27 Apr 2022 |
| DOIs | |
| Publication status | Published - Dec 2022 |
Funding
The work described in this paper was supported by a grant from Research Grant Council of Hong Kong, Hong Kong Innovation and Technology Commission and City University of Hong Kong (under grants no. 11203519, 11200621 and 9360163), and also by National Natural Science Foundation of China (61973291, 71971181 and 72032005).
Research Keywords
- Coordinate transformation
- Interval estimation
- Nabla fractional order LTI systems
- Positive systems theory
RGC Funding Information
- RGC-funded
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Dive into the research topics of 'Interval estimation for nabla fractional order linear time-invariant systems'. Together they form a unique fingerprint.Projects
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GRF: New Approaches for Reliability Analysis of Industrial Systems Subject to Multivariate Degradation
XIE, M. (Principal Investigator / Project Coordinator) & Gaudoin, O. (Co-Investigator)
1/01/22 → 7/11/25
Project: Research
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GRF: Importance Analysis and Maintenance Decisions of Complex Systems with Dependent Components
XIE, M. (Principal Investigator / Project Coordinator) & Parlikad, A. K. (Co-Investigator)
1/11/19 → 23/04/24
Project: Research
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