File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/TNNLS.2017.2737649
- Scopus: eid_2-s2.0-85029158280
- PMID: 28880194
- WOS: WOS:000439627700049
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Stability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks
Title | Stability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks |
---|---|
Authors | |
Keywords | Average dwell time Guaranteed cost analysis Semitensor product (STP) Time-triggered Boolean networks (BNs) |
Issue Date | 2018 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=72 |
Citation | IEEE Transactions on Neural Networks and Learning Systems, 2018, v. 29 n. 8, p. 3893-3899 How to Cite? |
Abstract | This paper investigates stability and guaranteed cost of time-triggered Boolean networks (BNs) based on the semitensor product of matrices. The time triggering is generated by mode-dependent average dwell-time switching signals in the BNs. With the help of the copositive Lyapunov function, a sufficient condition is derived to ensure that the considered network is globally stable under a designed average dwell-time switching signal. Subsequently, an infinite time cost function is further discussed and its bound is presented according to the obtained stability result. Numerical examples are finally given to show the feasibility of the theoretical results. |
Persistent Identifier | http://hdl.handle.net/10722/272271 |
ISSN | 2023 Impact Factor: 10.2 2023 SCImago Journal Rankings: 4.170 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Meng, M | - |
dc.contributor.author | Lam, J | - |
dc.contributor.author | Feng, J | - |
dc.contributor.author | Cheung, KC | - |
dc.date.accessioned | 2019-07-20T10:39:01Z | - |
dc.date.available | 2019-07-20T10:39:01Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IEEE Transactions on Neural Networks and Learning Systems, 2018, v. 29 n. 8, p. 3893-3899 | - |
dc.identifier.issn | 2162-237X | - |
dc.identifier.uri | http://hdl.handle.net/10722/272271 | - |
dc.description.abstract | This paper investigates stability and guaranteed cost of time-triggered Boolean networks (BNs) based on the semitensor product of matrices. The time triggering is generated by mode-dependent average dwell-time switching signals in the BNs. With the help of the copositive Lyapunov function, a sufficient condition is derived to ensure that the considered network is globally stable under a designed average dwell-time switching signal. Subsequently, an infinite time cost function is further discussed and its bound is presented according to the obtained stability result. Numerical examples are finally given to show the feasibility of the theoretical results. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=72 | - |
dc.relation.ispartof | IEEE Transactions on Neural Networks and Learning Systems | - |
dc.subject | Average dwell time | - |
dc.subject | Guaranteed cost analysis | - |
dc.subject | Semitensor product (STP) | - |
dc.subject | Time-triggered Boolean networks (BNs) | - |
dc.title | Stability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks | - |
dc.type | Article | - |
dc.identifier.email | Lam, J: jlam@hku.hk | - |
dc.identifier.email | Cheung, KC: kccheung@hku.hk | - |
dc.identifier.authority | Lam, J=rp00133 | - |
dc.identifier.authority | Cheung, KC=rp01322 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TNNLS.2017.2737649 | - |
dc.identifier.pmid | 28880194 | - |
dc.identifier.scopus | eid_2-s2.0-85029158280 | - |
dc.identifier.hkuros | 299322 | - |
dc.identifier.volume | 29 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 3893 | - |
dc.identifier.epage | 3899 | - |
dc.identifier.isi | WOS:000439627700049 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 2162-237X | - |