Decision Making in Reverse Logistics Using System Dynamics
Degenerate diffusive SEIR model with logistic population control.
Delay-dependent asymptotic stability for neural networks with time-varying delays.
Delay-dependent asymptotic stability of Cohen-Grossberg models with multiple time-varying delays.
Derivation of geodesic flow fields and spectrum in digital topographic basins.
Derivation of physically motivated constraints for efficient interval simulations applied to the analysis of uncertain dynamical systems
Interval arithmetic techniques such as VALENCIA-IVP allow calculating guaranteed enclosures of all reachable states of continuous-time dynamical systems with bounded uncertainties of both initial conditions and system parameters. Considering the fact that, in naive implementations of interval algorithms, overestimation might lead to unnecessarily conservative results, suitable consistency tests are essential to obtain the tightest possible enclosures. In this contribution, a general framework for...
Detection of variations of local irregularity of traffic under DDOS flood attack.
Determining the weights of a Fourier series neural network on the basis of the multidimensional discrete Fourier transform
This paper presents a method for training a Fourier series neural network on the basis of the multidimensional discrete Fourier transform. The proposed method is characterized by low computational complexity. The article shows how the method can be used for modelling dynamic systems.
Differentiability of the transition semigroup of the stochastic Burgers equation, and application to the corresponding Hamilton-Jacobi equation
We consider a stochastic Burgers equation. We show that the gradient of the corresponding transition semigroup does exist for any bounded ; and can be estimated by a suitable exponential weight. An application to some Hamilton-Jacobi equation arising in Stochastic Control is given.
Diffusive instability in a prey-predator system with time-dependent diffusivity.
Discontinuous Hamiltonian flows for nonlinear control system.
Discrete dynamics by different concepts of majorization.
Discrete dynamics in transitional economies.
Discrete dynamics of complex systems.
Distributed accelerated Nash equilibrium learning for two-subnetwork zero-sum game with bilinear coupling
This paper proposes a distributed accelerated first-order continuous-time algorithm for convergence to Nash equilibria in a class of two-subnetwork zero-sum games with bilinear couplings. First-order methods, which only use subgradients of functions, are frequently used in distributed/parallel algorithms for solving large-scale and big-data problems due to their simple structures. However, in the worst cases, first-order methods for two-subnetwork zero-sum games often have an asymptotic or convergence....
Distributed event-triggered algorithm for optimal resource allocation of multi-agent systems
This paper is concerned with solving the distributed resource allocation optimization problem by multi-agent systems over undirected graphs. The optimization objective function is a sum of local cost functions associated to individual agents, and the optimization variable satisfies a global network resource constraint. The local cost function and the network resource are the private data for each agent, which are not shared with others. A novel gradient-based continuous-time algorithm is proposed...
Doubly periodic traveling waves in a cellular neural network with linear reaction.
Drift and diffusion in phase space
Dynamic behaviors of a general discrete nonautonomous system of plankton allelopathy with delays.
Dynamic behaviors of a harvesting Leslie-Gower predator-prey model.