This paper is concerned with the problem of stochastic stability for a class of fuzzy Cohen-Grossberg neural networks, in which the interconnections and delays are time-varying.
This paper designs a decentralized neural network (NN) controller for a class of nonlinear large-scale systems, in which strong interconnections are involved.
The present review is focused on most recent studies, in which the interconnections of interfacial layer and foam film properties are innate for the performance of the respective systems and have been clarified to highest possible degree.
Software tools related to detection, classification and characterization of power quality events can be integrated into a Distribution Control Center in which the interconnection between different subsystems is being carried out through the Internet allowing flexibility to the system.
The Tianjin Eco-City and Smart Grid Demonstration Project was established by State Grid Corp. of China in 2014 [109], in which the interconnection and sharing of energy and information has been achieved across DGs, CCHP, energy storage, EVs, demand response, an information network, and a data platform.
Our results provide a basis for extending the Quantum Hardware Description Language (QHDL) framework for automated quantum network model construction (Tezak et al. in Philos. Trans. R. Soc. A, Math. Phys. Eng. Sci. 370(1979):5270-5290, 2012) to efficiently treat scenarios in which each interconnection of components has an associated signal propagation time delay.
In this paper, a class of nonlinear interconnected systems with uncertain time varying parameters is considered, in which both the interconnections and the isolated subsystems are nonlinear.
The main results presented in this paper are recapitulated in Figure 10, in which the metabolic interconnections of glutamine (Figure 10A) and the effects that glutamine deprivation has on signaling pathways and molecular events of the G1 to S transition, both in normal/reverted or in K-ras transformed cells, are described (Figure 10B and C).
What is before me is a network of relations and interconnections in which the relation to me, or even to us collectively as human beings, is very far from the whole story.
The plexiform layers are regions in which the neurons make their interconnections.
