This paper studies the pth moment exponential synchronization of a class of stochastic neural networks with mixed delays. Based on Lyapunov stability theory, by establishing a new integrodifferential inequality with m...
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This paper studies the pth moment exponential synchronization of a class of stochastic neural networks with mixed delays. Based on Lyapunov stability theory, by establishing a new integrodifferential inequality with mixed delays, several sufficient conditions have been derived to ensure the pth moment exponential stability for the error system. The criteria extend and improve some earlier results. One numerical example is presented to illustrate the validity of the main results.
In this paper,existence of solutions of third-order differential equation ■with nonlinear three-point boundary condition ■is obtained by embedding Leray-Schauder degree theory in upper and lower solutions method,whe...
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In this paper,existence of solutions of third-order differential equation ■with nonlinear three-point boundary condition ■is obtained by embedding Leray-Schauder degree theory in upper and lower solutions method,where a,b,c ∈ R,a < b < c;f :[a,c]×R3 → R,g :R3 → R,h :R2 → R and I :R3 → R are continuous *** existence result is obtained by defining the suitable upper and lower solutions and introducing an appropriate auxiliary boundary value *** an application,an example with an explicit solution is given to demonstrate the validity of the results in this paper.
A （p, q）-graph G is called super edge-magic if there exists a bijective function f ： V（G） U E（G） →{1, 2 p＋q} such that f（u）＋ f（v）＋f（uv） is a constant for each uv C E（G） and f（Y（G）） = {1,2,...,p}...
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A （p, q）-graph G is called super edge-magic if there exists a bijective function f ： V（G） U E（G） →{1, 2 p＋q} such that f（u）＋ f（v）＋f（uv） is a constant for each uv C E（G） and f（Y（G）） = {1,2,...,p}. In this paper, we introduce the concept of strong super edge-magic labeling as a particular class of super edge-magic labelings and we use such labelings in order to show that the number of super edge-magic labelings of an odd union of path-like trees （mT）, all of them of the same order, grows at least exponentially with m.
Network multimedia applications constitute a large part of Internet traffic and present a big challenge because of their sensitivity to delay, packet loss and higher bandwidth requirement. The need for guaranteed deli...
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Network multimedia applications constitute a large part of Internet traffic and present a big challenge because of their sensitivity to delay, packet loss and higher bandwidth requirement. The need for guaranteed delivery and lower delay is caused by propagation of more the one domain. The domains used in this paper are co-operating and communicating with each other and all of them support IPv6 QoS. Therefore, there is a need for IP QoS management model that handles and manages QoS requests and cooperate with other QoS schemes. In this paper, the IPv6 QoS manager is tested when the QoS of traffic flows propagate two and three domains. The IPv6 QoS manager handles QoS requests by either processing them locally if the intended destination is located locally or forwarding them to the neighboring domains that are managed by IPv6 QoS managers. Two simulation scenarios are presented in this paper, intra domain, one domain, and inter domains, two and three domains. End-to-end delay results for the different scenarios have approved that this QoS model can work either in intra or inter domains. In addition to the delay, packets are policed and degraded to lower priority if they exceed their initial traffic rates. This proves that the IPv6 QoS model is flexible and not restricted to one domain. Also, end-to-end QoS has been achieved with one admission and management unit instead of individual and independent management and admission units as in the case of IntServ.
This paper addresses the stabilization issues for a class of uncertain switched neutral systems with nonlinear perturbations. Based on new classes of piecewise Lyapunov functionals, the stability assumption on all the...
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This paper addresses the stabilization issues for a class of uncertain switched neutral systems with nonlinear perturbations. Based on new classes of piecewise Lyapunov functionals, the stability assumption on all the main operators or the convex combination of coefficient matrices is avoid, and a new switching rule is introduced to stabilize the neutral systems. The switching rule is designed from the solution of the so-called Lyapunov-Metzler linear matrix inequalities. Finally, three simulation examples are given to demonstrate the significant improvements over the existing results.
This paper considers the robust exponential stability issues for a class of uncertain switched neutral system which delays switched according to the switching rule. The system under consideration includes both stable ...
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This paper considers the robust exponential stability issues for a class of uncertain switched neutral system which delays switched according to the switching rule. The system under consideration includes both stable and unstable subsystems. The uncertainties considered in this paper are norm bounded, and possibly time varying. Based on multiple Lyapunov functional approach and dwell-time technique, the time-dependent switching rule is designed depend on the so-called average dwell time of stable subsystems as well as the ratio of the total activation time of stable subsystems and unstable subsystems. It is shown that by suitably controlling the switching between the stable and unstable modes, the robust stabilization of the switched uncertain neutral systems can be achieved. Two simulation examples are given to demonstrate the effectiveness of the proposed method.
This paper is concerned with the stability for a class of switched uncertain neutral systems. The uncertainty is assumed to be of structured linear fractional from which includes the norm bounded uncertainty as a spec...
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This paper is concerned with the stability for a class of switched uncertain neutral systems. The uncertainty is assumed to be of structured linear fractional from which includes the norm bounded uncertainty as a special case. Based on the property of completeness of systems, by using an improved Lyapunov-Krasovskii functional, a switching rule for the asymptotical stability of this systems is designed from the solution of linear matrix inequalities (LMIs). A numerical example is given to illustrate effectiveness of the result.
In this paper deal with the problem of asymptotic stability for a class of uncertain stochastic neural networks with discrete-time and unbounded distributed delays. The sufficient conditions to guarantee the robust gl...
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In this paper deal with the problem of asymptotic stability for a class of uncertain stochastic neural networks with discrete-time and unbounded distributed delays. The sufficient conditions to guarantee the robust global asymptotic stability in mean square of an equilibrium solution are given. One example is also given to demonstrate our results.
In this paper, we present a method for detecting a point target using multiple antennas when the relative motion between the receivers and the target induces a non-negligible Doppler shift. As a key illustrative examp...
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ISBN:
(纸本)9781424458707
In this paper, we present a method for detecting a point target using multiple antennas when the relative motion between the receivers and the target induces a non-negligible Doppler shift. As a key illustrative example, we consider a 4 × 4 system employing a unitary matrix waveform set, e.g., formed from Golay complementary sequences. When a non-negligible Doppler shift is induced by the target motion, the waveform matrix formed from the complementary sequences is no longer unitary, resulting in significantly degraded target range estimates. To solve this problem, we adopt a subspace based approach exploiting the observation that the receive matrix formed from matched filtering of the reflected waveforms has a (non-trivial) null-space. Through processing of the waveforms with the appropriate vector from the null-space, we can significantly improve the detection performance. We provide simulation results to confirm the theoretical analysis.
Disease association study is of great importance among various fields of study in bioinformatics. Computational methods happen to be advantageous specifically when experimental approaches fail to obtain accurate resul...
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ISBN:
(纸本)9781424456987
Disease association study is of great importance among various fields of study in bioinformatics. Computational methods happen to be advantageous specifically when experimental approaches fail to obtain accurate results. Haplotypes are believed to be the most responsible biological data for genetic diseases. In this paper, the problem of reconstructing haplotypes from error-containing SNP fragments is discussed. For this purpose, two new methods have been proposed by a combination of k-means clustering and particle swarm optimization algorithm. The methods and their implementation results on real biological and simulation datasets are represented which shows that they outperform the methods used alone.
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