Results 31 to 40 of about 810,973 (296)
Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays [PDF]
Copyright [2010] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
+4 more
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Dynamical Behavior of Nonautonomous Stochastic Reaction-Diffusion Neural Network Models [PDF]
This brief investigates nonautonomous stochastic reaction-diffusion neural-network models with S-type distributed delays. First, the existence and uniqueness of mild solution are studied under the Lipschitz condition without the linear growth condition ...
Lin, Ping+4 more
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Long-Term Clock Synchronization in wireless sensor networks with arbitrary delay distributions [PDF]
Clock synchronization is a crucial issue in the operation of wireless sensor networks. Although the existing synchronization algorithms under linear clock model assumptions perform well for short periods, they will become problematic for applications with long-term requirements.
Fredrik Brannstrom+3 more
openaire +2 more sources
The decay rate of solutions to a Bresse system in thermoelasticity of type III with respect to the distributed delay term is the subject of this study. We demonstrate our major finding utilising the energy approach in the Fourier space.
Abdelbaki Choucha+3 more
doaj +1 more source
This work discuss the stabilization issue for a class of fractional-order nonlinear systems together with time delay, parametric uncertainties and actuator faults. Precisely, the considered system comprises of two delays namely distributed delay and time-
S. Sweetha+3 more
doaj +1 more source
Distractor-resistant short-term memory is supported by transient changes in neural stimulus representations [PDF]
Goal-directed behavior in a complex world requires the maintenance of goal-relevant information despite multiple sources of distraction. However, the brain mechanisms underlying distractor-resistant working or short-term memory (STM) are not fully ...
Derrfuss, Jan+4 more
core +3 more sources
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Norm continuity and stability for a functional differential equation in Hilbert space [PDF]
A functional differential equation in Hilbert space with initial data on [−h,0] is considered. An unbounded operator A and a square integrable weight function are acting in the distributed delay term.
Mastinšek, Miklavž
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Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
With the increasing integration of distributed photovoltaic (PV) generation, the distribution network has met many challenges in operation and control.
Maodong Shen+3 more
doaj +1 more source