Large-conductance calcium-activated K+(BK-type,mSlo1 or mutations)channels,abundantly distributed in the excitable cells,response to the intracellular Ca2+signal to regulate membrane ***,all the kinetic properties of ...
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Large-conductance calcium-activated K+(BK-type,mSlo1 or mutations)channels,abundantly distributed in the excitable cells,response to the intracellular Ca2+signal to regulate membrane ***,all the kinetic properties of BK were acquired under circumstance of uniform Ca2+.It is extremely important to explore dynamic sensitivities of BK channels under variety of rapid Ca2+-release or calcium *** photolysis provides the most rapid Ca2+-
In this paper, we consider the differential-algebraic predator-prey model with predator harvesting and two delays. By using the new normal form of differential-algebraic systems, center manifold theorem and bifurcatio...
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In this paper, we consider the differential-algebraic predator-prey model with predator harvesting and two delays. By using the new normal form of differential-algebraic systems, center manifold theorem and bifurcation theory, we analyze the stability and the Hopf bifurcation of the proposed system. In addition, the new effective analytical method enriches the toolbox for the qualitative analysis of the delayed differential-algebraic systems. Finally, numerical simulations are given to show the consistency with theoretical analysis obtained here.
This paper investigates the observer-based H control problem for a class of mixed-delay Markovian jump systems with random communication packet losses and multiplicative noises. The mixed delays comprise both discrete...
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This paper investigates the observer-based H control problem for a class of mixed-delay Markovian jump systems with random communication packet losses and multiplicative noises. The mixed delays comprise both discrete time-varying delays and distributed delays, the random packet losses are described by a Bernoulli distributed white sequence that obeys a conditional probability distribution, and the multiplicative disturbances are in the form of a scalar Gaussian white noise with unit variance. In the presence of mixed delays, random packet losses and multiplicative noises, sufficient conditions for the existence of an observer-based feedback controller are derived such that the closed-loop control system is asymptotically mean-square stable and preserves a guaranteed H performance. Then, a linear matrix inequality approach for designing such an observer-based H controller is presented. Finally, a numerical example is provided to illustrate the effectiveness of the developed theoretical results. Copyright (c) 2012 John Wiley & Sons, Ltd.
Without assuming the boundedness and monotonicity of neuron activations, we investigate passivity of delayed neural networks with discontinuous activations. Based on differential inclusion theory, sufficient condition...
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Without assuming the boundedness and monotonicity of neuron activations, we investigate passivity of delayed neural networks with discontinuous activations. Based on differential inclusion theory, sufficient conditions are established in form of linear matrix inequality by employing the generalized Lyapunov approach. In addition, a kind of control input is designed to stabilize neural network with activation functions having special form. Finally, some numerical examples are proposed to show the effectiveness of developed results.
This paper proposes a new second-order discrete-time multiagent model and addresses the controllability of second-order multiagent system with multiple leaders and general dynamics. The leaders play an important role ...
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This paper proposes a new second-order discrete-time multiagent model and addresses the controllability of second-order multiagent system with multiple leaders and general dynamics. The leaders play an important role in governing the other member agents to achieve any desired configuration. Some sufficient and necessary conditions are given for the controllability of the second-order multiagent system. Moreover, the speed controllability of the second-order multiagent system with general dynamics is discussed. Particularly, it is shown that the controllability of the whole system relies on the number of leaders and the connectivity between the leaders and the members. Numerical examples illustrate the theoretical results.
This paper is concerned with the H (a) synchronization problem of directed complex dynamical networks. For the system under study, mixed time-delays and stochastic factors are taken into consideration. By stochastic a...
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This paper is concerned with the H (a) synchronization problem of directed complex dynamical networks. For the system under study, mixed time-delays and stochastic factors are taken into consideration. By stochastic analysis techniques, we establish sufficient conditions under which the network is synchronized to the prescribed system in the H (a) sense. Moreover, the effect of exogenous disturbance on synchronization performance is reduced to a given H (a) norm. Finally, numerical simulations are given to verify the usefulness and effectiveness of our results.
This paper considers the synchronization and unknown input recovery problem for a class of digital nonlinear systems based on a nonlinear observer approach. A generalized Luenberger-like observer is introduced for a c...
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This paper considers the synchronization and unknown input recovery problem for a class of digital nonlinear systems based on a nonlinear observer approach. A generalized Luenberger-like observer is introduced for a class of discrete-time Lipschitz nonlinear systems. Stability conditions for the existence of asymptotic observers are established in terms of some linear matrix inequalities. It is shown that the proposed conditions are less conservative than some existing ones in the recent literature. Moreover, an observer design method is used to address the problem of H (a) synchronization and unknown input recovery for a class of Lipschitz nonlinear systems in the presence of disturbances in both the state and output equations. Finally, a numerical example is provided to illustrate the effectiveness of the proposed design.
This paper investigates a flocking problem of multiple agents with heterogeneous nonlinear dynamics. In order to avoid fragmentation, we construct a potential function and a connectivity-preserving flocking algorithm ...
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This paper investigates a flocking problem of multiple agents with heterogeneous nonlinear dynamics. In order to avoid fragmentation, we construct a potential function and a connectivity-preserving flocking algorithm to enable the multiple agents to move with the same velocity while preserving the connectivity of underlying networks with a mild assumption that the initial network is connected and the coupling strength of the initial network of the nonlinear velocity consensus term is larger than a threshold value. Furthermore the proposed flocking algorithm is extended to solve the problem of multi-agent systems with a nonlinear dynamical virtual leader. The result is that all agents' velocities asymptotically approach to the velocity of the virtual leader, and the distance between any two agents is asymptotically stabilized to avoid collisions among agents. Finally, some numerical simulations are presented to illustrate the effectiveness of the theoretical results. (C) 2013 Elsevier B.V. All rights reserved.
Spectrum mapping reflects the strength of brain electrical activity in different frequency band. The current study analyzes changes in electroencephalography (EEG) after spinal cord injury (SCI) on the basis of spectr...
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Medical image fusion plays an important role in clinical applications such as image-guided surgery, image-guided radiotherapy, non-invasive diagnosis, and treatment planning. Although numerous researches have been don...
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ISBN:
(纸本)9780819494504
Medical image fusion plays an important role in clinical applications such as image-guided surgery, image-guided radiotherapy, non-invasive diagnosis, and treatment planning. Although numerous researches have been done in developing various medical image fusion algorithms, the disadvantage of these approaches is that they lack universality in dealing with different kinds of medical images. To address this problem, we have proposed a novel method of medical image fusion using the spiking cortical model (SCM) for the first time. In the paper, the mathematical model of SCM is firstly described, and then image fusion algorithm with SCM is introduced in detail. To show that the SCM based fusion method can deal with multimodal medical images, we have used three pairs of medical images with different modalities in the simulation experiments and made comparisons among the proposed method and the state-of-art fusion methods such as Laplacian pyramid, Contrast pyramid, Morphological pyramid and Ratio pyramid. The performance of various methods is investigated using such image assessment metrics as Mutual Information (MI), the edge preservation values (Q(AB/F)), the Local Structural Similarity (LSSIM) and the Universal image Quality Index (UIQI). The experimental results show that our proposed method outperforms other methods in both visual effect and objective evaluation. It demonstrates that the SCM based method is a highly effective method for multi-modal medical image fusion due to its versatility and stability.
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