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A set of criteria is presented for the global asymptotically stability of delayed cellular neural networks by constructing suitable Lyapunov functionals, introducing many parameters and combining with the elementary inequality technique. Time-delay is frequently encountered in neural networks, and it is often a source of instability and oscillations in a system. It is very important to research the...
In this paper, a Hopfield-type neural network with distributed delays and impulses are investigated. Some sufficient conditions are obtained for the global exponential stability and existence of the periodic solution to the Hopfield-type neural networks with distributed delay and impulsive on time scales.
By piecewise Lyapunov function , a general class of bidirectional associative memory with impulsive and delay is studied.Several global exponential stability criteria of the equilibrium point are established.Two linear impulsive neural networks with delays are constructed, which can be used to design impulsive controllers to control the exponential stability of the system. This method is possible...
By using the Lyapunov functional and some inequality technique, some sufficient conditions are obtained for the global exponential stability and existence of the periodic solution to the BAM neural networks with distributed delays on time scales. In fact, the results can be easily applied in practice.
According to the different demand on realtime of periodic and non-periodic data, the improved real time communication protocol CSMA/NT is presented with node transfer based on non-destroyed priority bit-by-bit arbitration. The performance analysis shows that it decreases the probability of data collision effectively, ensures a limited transmission time and makes maximum delay time adjustable, leads...
In order to solve the immeasurable problem of the neuron states, and the universal time-delay occurrence in the neural networks systems, this paper studies the state observation problem for time-delay neural networks systems, constructs a new Lapunov-krasovskii functional, designs an efficient delay-dependent observation algorithm to observe the neuron states from the available network outputs. Distinguishing...
By Lyapunov function and Halanay inequality etc., a class of the BAM type Cohen-Grossberg neural network with delays and impulsive is considered on time scales. It obtained some sufficient conditions about the existence of equilibrium point, globally exponential stability and globally exponentially robust stability. We can see the impulses do contribution to the exponential stability and robust stability...
By means of contraction mapping principle, inequality technique, global exponential stability of a class of BAM networks with delays is considered. Some sufficient conditions are obtained which ensure the existence, uniqueness, global exponential stability of equilibrium point of the networks. Finally, a numerical example is discussed in this paper to illustrate advantage of the results we derived.
Service mapping is an important part of Open and Reconfigurable Networks (ORN), which is proposed to solve the network convergence problem of emerging applications from the aspect of “application mapping to service, and service mapping to component”. This work introduces the ORN simply firstly; and then presents a general service model, which has four elements, such as Role, Protocol, Quality, and...
In this paper, based on Lyapunov-Krasovskii functional approach and proper integral inequality, one novel sufficient condition is derived to guarantee the global stability for neural networks with interval time-varying delay, in which the general convex combination is employed. The LMI-based criterion heavily depends on the upper and lower bounds on both time delay and its derivative, which is different...
In this paper, a class of BAM neural networks with impulses is studied on time scales. Some sufficient conditions of global exponential stability of the equilibrium point with impulses are obtained. At last, we give an example to demonstrate the effectiveness of the obtained results.
We present PAAKL, a method for password authentication. In addition to checking for a password's correctness, PAAKL performs authentication by verifying that password using behavioral metrics extracted from the typing style of the rightful owner of a computer account. As such, PAAKL will deny access to users who have knowledge of a password but their typing style of that password is different from...
Global exponential stability problem is studied for a class of continuous-time reaction-diffusion Cohen-Grossberg neural networks with distributed delays. By decomposing the distributed-delay matrix and using matrix inequality technique and under some suitable assumptions on amplification function, a novel delay-kernel-dependent exponential stability condition for the equilibrium point of reaction-diffusion...
This work presents a feasible solution to the problem of book losses prediction from financial and general data in companies. The specific problem tackled in this work corresponds to a real dataset of Spanish companies. A Mutual Information-based criterion has been applied in order to reduce the initial set of variables, and a Support Vector Machine classifier has been designed to perform the prediction...
Some sufficient conditions are obtained for the global exponential stability and existence of the periodic solution to the BAM neural networks with distributed delay and impulsive on time scales. By using the Lyapunov functional and some inequality technique, the results can be easily applied in practice.
Ternary multiway switch by logic element utilizing third subharmonic oscillation (phasor based ternary logic) can be regarded as a complex-valued neural network. After showing various functions multiway switches can perform, including Fourier transform, by extending the original functionality as a memory address selector, its implementation by neuron-like element is considered as a model of natural...
Impulsive synchronization results are presented for discrete-time neural networks with delay, using linear matrix inequality and vector Lyapunov function techniques. The synchronizing impulses are assumed to contain non-delayed, as well as delayed terms. An example is given to illustrate the effectiveness of the results.
In this paper, the robust stability is investigated for neural networks of neutral-type with both discrete and distributed time-varying delays. Based on Lyapunov-Krasovskii stability theory and stochastic analysis approaches, several new criteria are derived to guarantee the robust stability of the system. Some numerical examples are given to demonstrate the applicability of our proposed stability...
One of the most significant concerns in designing on-chip networks is guaranteeing QoS requirements for various applications. In this paper, we propose a buffering method which reduces the router's area and in turn network cost without affecting the QoS issues. The proposed method rather than considering a dedicated buffer for each class of traffic, assigns a single shared buffer on each port to the...
This paper presents a grey predictive control method for a class of nonlinear systems with unknown input delay. By using BP neural network, the unknown input delay is identified firstly. The system output is then estimated by the grey predictive algorithm. The output feedback control is fulfilled by PID algorithm which is used to tune its three parameters. By means of combining grey predictive algorithm...
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