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Pinning synchronization for reaction-diffusion neural networks with delays by mixed impulsive control
- Source :
- Neurocomputing. 339:270-278
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- The synchronization for reaction-diffusion neural networks with time-varying and distributed delays is concerned in the letter. A mixed pinning impulsive controller is introduced for realizing the synchronization of the neural networks. The novel control method combines the advantages of pinning control as well as two types of impulsive effects (i.e. synchronizing and desynchronizing impulses) such that the control cost is reduced tremendously in practical applications. By applying the generalized comparison principle and average mixed impulsive interval approach, some sufficient criteria are constructed so that response system can be synchronized with corresponding drive system. Finally, two numerical examples are presented to verify the correctness of the obtained results.
- Subjects :
- 0209 industrial biotechnology
Correctness
Artificial neural network
Computer science
Cognitive Neuroscience
Control (management)
Synchronizing
02 engineering and technology
Interval (mathematics)
Synchronization
Computer Science Applications
020901 industrial engineering & automation
Artificial Intelligence
Control theory
Synchronization (computer science)
Reaction–diffusion system
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Subjects
Details
- ISSN :
- 09252312
- Volume :
- 339
- Database :
- OpenAIRE
- Journal :
- Neurocomputing
- Accession number :
- edsair.doi...........0cd82cf6a7991fe661528a3032d286d9