A novel approach to H∞ performance analysis of discrete-time networked systems subject to network-induced delays and malicious packet dropouts. (February 2022)
- Record Type:
- Journal Article
- Title:
- A novel approach to H∞ performance analysis of discrete-time networked systems subject to network-induced delays and malicious packet dropouts. (February 2022)
- Main Title:
- A novel approach to H∞ performance analysis of discrete-time networked systems subject to network-induced delays and malicious packet dropouts
- Authors:
- Zhang, Xian-Ming
Han, Qing-Long
Ge, Xiaohua - Abstract:
- Abstract: This paper is concerned with the H ∞ performance of discrete-time networked systems subject to network-induced delays and malicious packet dropouts. First, the introduction of a data packet processor enables us to calculate both network-induced delays and the number of consecutive malicious packet dropouts explicitly . Second, a novel Lyapunov functional is constructed, whose forward difference along with the trajectory of the closed-loop system is estimated as a quartic polynomial . A class of necessary and sufficient conditions on such an inequality are established by using the Finsler lemma. By employing the Lyapunov method, a bounded real condition is formulated, which depends on the upper bound of network-induced delays and the maximum number of consecutive malicious packet dropouts. Therefore, their effects on H ∞ performance can be investigated simultaneously. Finally, the effectiveness of the proposed method is shown through an inverted pendulum system.
- Is Part Of:
- Automatica. Volume 136(2022)
- Journal:
- Automatica
- Issue:
- Volume 136(2022)
- Issue Display:
- Volume 136, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 136
- Issue:
- 2022
- Issue Sort Value:
- 2022-0136-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02
- Subjects:
- Networked systems -- Network-induced delays -- Malicious packet dropouts -- H∞ performance -- Lyapunov functional
Automatic control -- Periodicals
Automation -- Periodicals
629.805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00051098 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.automatica.2021.110010 ↗
- Languages:
- English
- ISSNs:
- 0005-1098
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1829.450000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20299.xml