1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
In this article, an interval estimation problem is investigated for a class of discrete-time nonlinear networked systems under stealthy attacks. An improved event-triggered protocol with the time-varying threshold is adopted to govern the received signals of interval observer so as to reduce unnecessary data communication burden. Stealthy attacks occurring in both the sensors and the plant come typically from open networked environments. For the addressed issue, a novel interval observer is developed to estimate the bounds of both system states and stealthy attacks. A sufficient condition is proposed by using the positive system theory and Lyapunov stability theory. Furthermore, the desired observer gain is obtained in terms of the solution to certain matrix inequalities. In comparison with the traditional approach that attacks are regarded as bounded disturbances, the estimated upper and lower bounds of attack signals can effectively reduce the conservatism of estimation performance, and avoid the implementation difficulties of the designed observer in practical engineering. Finally, the effectiveness of the proposed interval observers is verified by a numerical simulation.
© Copyright 2022 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.