198 research outputs found

    Double-distribution-function discrete Boltzmann model for combustion

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    A 2-dimensional discrete Boltzmann model for combustion is presented. Mathematically, the model is composed of two coupled discrete Boltzmann equations for two species and a phenomenological equation for chemical reaction process. Physically, the model is equivalent to a reactive Navier-Stokes model supplemented by a coarse-grained model for the thermodynamic nonequilibrium behaviours. This model adopts 16 discrete velocities. It works for both subsonic and supersonic combustion phenomena with flexible specific heat ratio. To discuss the physical accuracy of the coarse-grained model for nonequilibrium behaviours, three other discrete velocity models are used for comparisons. Numerical results are compared with analytical solutions based on both the first-order and second-order truncations of the distribution function. It is confirmed that the physical accuracy increases with the increasing moment relations needed by nonequlibrium manifestations. Furthermore, compared with the single distribution function model, this model can simulate more details of combustion.Comment: Accepted for publication in Combustion and Flam

    Modeling incompressible thermal flows using a central-moment-based lattice Boltzmann method

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    In this paper, a central-moment-based lattice Boltzmann (CLB) method for incompressible thermal flows is proposed. In the method, the incompressible Navier-Stokes equations and the convection-diffusion equation for the temperature field are sloved separately by two different CLB equations. Through the Chapman-Enskog analysis, the macroscopic governing equations for incompressible thermal flows can be reproduced. For the flow field, the tedious implementation for CLB method is simplified by using the shift matrix with a simplified central-moment set, and the consistent forcing scheme is adopted to incorporate forcing effects. Compared with several D2Q5 multiple-relaxation-time (MRT) lattice Boltzmann methods for the temperature equation, the proposed method is shown to be better Galilean invariant through measuring the thermal diffusivities on a moving reference frame. Thus a higher Mach number can be used for convection flows, which decreases the computational load significantly. Numerical simulations for several typical problems confirm the accuracy, efficiency, and stability of the present method. The grid convergence tests indicate that the proposed CLB method for incompressible thermal flows is of second-order accuracy in space

    Time-delayed impulsive control for discrete-time nonlinear systems with actuator saturation

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    This paper focuses on the problem of time-delayed impulsive control with actuator saturation for discrete-time dynamical systems. By establishing a delayed impulsive difference inequality, combining with convex analysis and inequality techniques, some sufficient conditions are obtained to ensure exponential stability for discrete-time dynamical systems via time-delayed impulsive controller with actuator saturation. The designed controller admits the existence of some transmission delays in impulsive feedback law, and the control input variables are required to stay within an availability zone. Several numerical simulations are also given to demonstrate the effectiveness of the proposed results.&nbsp

    A semi-free weighting matrices approach for neutral-type delayed neural networks

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    AbstractIn this paper, a new approach is proposed for stability issues of neutral-type neural networks (DNNs) with constant delay. First, the semi-free weighting matrices are proposed and used instead of the known free weighting matrices to express the relationship between the terms in the Leibniz–Newton formula to simplify the system synthesis and to obtain less computation demand. Second, global exponential stability conditions which are less conservative and restrictive than the known results are derived. At the same time, based on the above approach, fewer variable matrices are introduced in the construction of the Lyapunov functional and augmented Lyapunov functional. Two examples are given to show their effectiveness and advantages over others

    Cooperative coloring of some graph families

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    Given a family of graphs {G1,…,Gm}\{G_1,\ldots, G_m\} on the vertex set VV, a cooperative coloring of it is a choice of independent sets IiI_i in GiG_i (1≀i≀m)(1\leq i\leq m) such that ⋃i=1mIi=V\bigcup^m_{i=1}I_i=V. For a graph class G\mathcal{G}, let mG(d)m_{\mathcal{G}}(d) be the minimum mm such that every graph family {G1,…,Gm}\{G_1,\ldots,G_m\} with Gj∈GG_j\in\mathcal{G} and Ξ”(Gj)≀d\Delta(G_j)\leq d for j∈[m]j\in [m], has a cooperative coloring. For T\mathcal{T} the class of trees and W\mathcal{W} the class of wheels, we get that mT(3)=4m_\mathcal{T}(3)=4 and mW(4)=5m_\mathcal{W}(4)=5. Also, we show that mBbc(d)=O(log⁑2d)m_{\mathcal{B}_{bc}}(d)=O(\log_2 d) and mBk(d)=O(log⁑dlog⁑log⁑d)m_{\mathcal{B}_k}(d)=O\big(\frac{\log d}{\log\log d}\big), where Bbc\mathcal{B}_{bc} is the class of graphs whose components are balanced complete bipartite graphs, and Bk\mathcal{B}_k is the class of bipartite graphs with one part size at most kk

    Fast Successive-Cancellation Decoding of 2 x 2 Kernel Non-Binary Polar Codes: Identification, Decoding and Simplification

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    Non-binary polar codes (NBPCs) decoded by successive cancellation (SC) algorithm have remarkable bit-error-rate performance compared to the binary polar codes (BPCs). Due to the serial nature, SC decoding suffers from large latency. The latency issue in BPCs has been the topic of extensive research and it has been notably resolved by the introduction of fast SC-based decoders. However, the vast majority of research on NBPCs is devoted to issues concerning design and efficient implementation. In this paper, we propose fast SC decoding for NBPCs constructed based on 2 x 2 kernels. In particular, we identify various non-binary special nodes in the SC decoding tree of NBPCs and propose their fast decoding. This way, we avoid traversing the full decoding tree and significantly reduce the decoding delay compared to symbol-by-symbol SC decoding. We also propose a simplified NBPC structure that facilitates the procedure of non-binary fast SC decoding. Using our proposed fast non-binary decoder, we observed an improvement of up to 95% in latency concerning the original SC decoding. This is while our proposed fast SC decoder for NBPCs incurs no error-rate loss
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