Abstract
This paper addresses optimal mean-square performance for multiple-input multiple-output (MIMO) linear time invariant (LTI) systems subject to exogenous noise and communication losses between the plant and controller. First we derive linear matrix inequalities (LMIs) for analysis of mean-square stability and performance, then we show how a pair of semidefinite programs (SDPs) can be used to convexly find the optimal mean-square performance controller for output feedback scenarios assuming a delayed binary acknowledgment from the actuator receiver is available at the controller.
| Original language | English (US) |
|---|---|
| Title of host publication | ACC 2015 - 2015 American Control Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 6040-6045 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479986842 |
| DOIs | |
| State | Published - Jul 28 2015 |
| Externally published | Yes |
| Event | 2015 American Control Conference, ACC 2015 - Chicago, United States Duration: Jul 1 2015 → Jul 3 2015 |
Publication series
| Name | Proceedings of the American Control Conference |
|---|---|
| Volume | 2015-July |
| ISSN (Print) | 0743-1619 |
Conference
| Conference | 2015 American Control Conference, ACC 2015 |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 7/1/15 → 7/3/15 |
Bibliographical note
Publisher Copyright:© 2015 American Automatic Control Council.
Fingerprint
Dive into the research topics of 'Optimal mean-square performance for MIMO networked systems'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS