Adaptive synchronization of neural networks with or without time-varying delay.
By Jinde Cao, Jianquan Lu. Chaos, 2006
412 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/51f107fd2c757927fb2842dbe4febce79aaf0526
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In Artificial Intelligence
In Computer Networks and Communications
Citations in the corpus
- Finite-time stochastic synchronization of complex networks (2010, background): “synchronization, such as impulsive control [17,18], adaptive control [19–21], pinning control [22], sliding mode control [23,24], etc.”
- Finite-time synchronization of complex delayed networks via intermittent control with multiple switched periods (2016, methodology): “Until now, in order to treat the synchronization problem for a complex network, some control schemes such as state observer-based control [12], impulsive control [13–15], adaptive control [16,17,19], pinning control [5,6,8], sliding mode control [20], projective synchronization scheme [21–23] and in”
- Globally Exponential Synchronization and Synchronizability for General Dynamical Networks (2010, background): “In particular, the synchronization phenomena have actively been investigated due to past physics and potential engineering applications [7], [8], including parallel image processing [9], pattern storage and retrieval [10], secure communication [11], and so on.”
- Networked Synchronization Control of Coupled Dynamic Networks With Time-Varying Delay (2010, background): “So far, the adaptive synchronization control is a main control approach for the CDNs (see [8]–[12]), but some unfavorable effects of data transmission between the controller and CDNs have not been considered.”