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Finite-time H∞ sampled-data synchronization for Markovian jump complex networks with time-varying delays
- Source :
- Neurocomputing. 296:82-99
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- This paper investigates the finite-time H∞ sampled-data synchronization problem for a class of dynamical complex networks with Markovian jump and time-varying delays. Based on a modified Lyapunov–Krasovskii function (LKF), which is fully considered the characteristics of sampled-data, a sampled-data controller are obtained. By introducing the free weighting matrices, some novel auxiliary function-based integral inequalities are applied to have less conservative than other existing results. Finally, three examples are given to show the effectiveness and superiority of the proposed methods.
- Subjects :
- 0209 industrial biotechnology
Inequality
Computer science
Cognitive Neuroscience
media_common.quotation_subject
02 engineering and technology
Function (mathematics)
Complex network
Synchronization
Computer Science Applications
Weighting
Markovian jump
020901 industrial engineering & automation
Artificial Intelligence
Control theory
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Data synchronization
media_common
Subjects
Details
- ISSN :
- 09252312
- Volume :
- 296
- Database :
- OpenAIRE
- Journal :
- Neurocomputing
- Accession number :
- edsair.doi...........d5f62d4db2e95f431607265fac24e374