Decentralized H∞ Control for Large-Scale Systems with Uncertain Missing Measurements Probabilities. (1st October 2015)
- Record Type:
- Journal Article
- Title:
- Decentralized H∞ Control for Large-Scale Systems with Uncertain Missing Measurements Probabilities. (1st October 2015)
- Main Title:
- Decentralized H∞ Control for Large-Scale Systems with Uncertain Missing Measurements Probabilities
- Authors:
- Zhou, Ying
Zang, Qiang
Fan, Chunxia - Other Names:
- Yan Xinggang Academic Editor.
- Abstract:
- Abstract : For large-scale systems which are modeled as interconnection ofN networked control systems with uncertain missing measurements probabilities, a decentralized state feedbackH ∞ controller design is considered in this paper. The occurrence of missing measurements is assumed to be a Bernoulli random binary switching sequence with an unknown conditional probability distribution in an interval. A state feedbackH ∞ controller is designed in terms of linear matrix inequalities to make closed-loop system exponentially mean square stable and a prescribedH ∞ performance is guaranteed. Sufficient conditions are derived for the existence of such controller. A numerical example is also provided to demonstrate the validity of the proposed design approach.
- Is Part Of:
- Mathematical problems in engineering. Volume 2015(2015)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2015(2015)
- Issue Display:
- Volume 2015, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 2015
- Issue:
- 2015
- Issue Sort Value:
- 2015-2015-2015-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-10-01
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2015/379390 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10689.xml