Periodic sampled-data-based dynamic model control of switched linear systems. Issue 16 (November 2022)
- Record Type:
- Journal Article
- Title:
- Periodic sampled-data-based dynamic model control of switched linear systems. Issue 16 (November 2022)
- Main Title:
- Periodic sampled-data-based dynamic model control of switched linear systems
- Authors:
- Li, Tai-Fang
Lu, Jiaming
Zhu, Jin - Abstract:
- Abstract: Sampled-data control as an effective mean of digital control has shown its prominent superiority in most practical industries and a zero-order holder (ZOH) is often introduced to maintain continuity of control in the field of sampled-data control system. However, it decreases the control accuracy in a certain extent since the state will be held invariably within each sampling interval. In order to improve the control accuracy, this paper proposes a dynamic model-based control strategy instead of ZOH for a class of switched sampled-data control systems. The model, which is built by abstracting the plant knowledge, is located at the controller side. The controller is set up based on the model state and it provides control input to the switched system. A fixed sampling period is adopted, under which a hybrid-dwell time switching condition is revealed by taking into account asynchronous switching. With reasonable design of switching condition, exponential stability of the closed-loop system can be guaranteed. Finally, advantages of our proposed method are presented through a numerical example by comparing with the result of ZOH-based control.
- Is Part Of:
- Journal of the Franklin Institute. Volume 359:Issue 16(2022)
- Journal:
- Journal of the Franklin Institute
- Issue:
- Volume 359:Issue 16(2022)
- Issue Display:
- Volume 359, Issue 16 (2022)
- Year:
- 2022
- Volume:
- 359
- Issue:
- 16
- Issue Sort Value:
- 2022-0359-0016-0000
- Page Start:
- 8539
- Page End:
- 8552
- Publication Date:
- 2022-11
- Subjects:
- Science -- Periodicals
Technology -- Periodicals
Patents -- United States -- Periodicals
505 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/00160032 ↗ - DOI:
- 10.1016/j.jfranklin.2022.09.001 ↗
- Languages:
- English
- ISSNs:
- 0016-0032
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4755.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24205.xml