In this paper, an adaptive synchronization problem is considered for an array of linearly coupled reaction-diffusion neural networks with antagonistic ...
In this paper, an adaptive synchronization problem is considered for an array of linearly coupled reaction-diffusion neural networks with antagonistic ...
Jul 1, 2016 · When the interactions between neurons suffer from time-varying delays, an edge- based adaptive strategy is designed to tune the coupling weights ...
In this paper, an adaptive synchronization problem is considered for an array of linearly coupled reaction-diffusion neural networks with antagonistic ...
In this paper, an antisynchronization problem is considered for an array of linearly coupled reaction-diffusion neural networks with cooperative-competitive ...
This paper proposes a reinforcement learning Algorithm based on coopetition strength (CS) to achieve optimal antisynchronization in unknown MASs.
This study considers an optimal output anti-synchronisation problem for linear multi-agent systems with non-identical dynamics and antagonistic interactions ...
In this paper, an antisynchronization problem is considered for an array of linearly coupled reaction-diffusion neural networks with cooperative-competitive ...
In this paper, two kinds of lag synchronization for coupled neural networks (CNNs) are addressed, that is, the cases with multiple state or derivative ...
Missing: cooperative- competitive
In this paper, the author investigates the global synchronization problem for linearly coupled neural networks with reaction–diffusion terms and unbounded ...