Design of Controller and Observer for Dynamical Network Systems Based on Weighted Degrees. Issue 2 (2020)
- Record Type:
- Journal Article
- Title:
- Design of Controller and Observer for Dynamical Network Systems Based on Weighted Degrees. Issue 2 (2020)
- Main Title:
- Design of Controller and Observer for Dynamical Network Systems Based on Weighted Degrees
- Authors:
- Adachi, Ryosuke
Yamashita, Yuh
Kobayashi, Koichi - Abstract:
- Abstract: In this paper, stability conditions based on graph theory for dynamical network systems are shown. Although many frameworks based on graph theory for analysis of dynamical systems have been proposed, there is no stability condition that can be utilized to design of controllers and observers for linear dynamical systems. In this work, to show the stability condition based on graph theory for control and estimation, the dynamical system is represented by a directed graph with weights. The proposed stability conditions are obtained as the inequality of the weighted degrees defined in this paper. As applications, equilibrium point analysis of Lotka-Volterra system and design of pinning controllers and observers for consensus systems are proposed.
- Is Part Of:
- IFAC-PapersOnLine. Volume 53:Issue 2(2020)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 53:Issue 2(2020)
- Issue Display:
- Volume 53, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 53
- Issue:
- 2
- Issue Sort Value:
- 2020-0053-0002-0000
- Page Start:
- 3330
- Page End:
- 3335
- Publication Date:
- 2020
- Subjects:
- Dynamical Network System -- Multi Agent System -- Graph Theory
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2020.12.1496 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23744.xml