束晕-混沌的非线性反馈离散控制

 基于非线性控制方法，提出了一种特殊的非线性反馈函数， 即小波反馈函数，用于离散控制强流质子束的束晕 混沌。控制后质子束的束晕强度因子很快趋于零，束均方根半径、束横向平均发射度等都减至控制前的三分之一稍多, 证明该控制方法切实有效，在工业上具有实用价值。     

强流加速器中束晕-混沌的小波间隔反馈控制

在束晕-混沌的小波函数控制已实现的基础上,给出了一种形式更为简单的小波函数控制器,并研究了束晕混沌的多周期间隔反馈控制方法.以控制初始条件遵从Kapchinshij-Vladimirskij分布的离子束为例进行模拟,结果表明,通过适当选择间隔的周期数和小波控制器的控制参数,仍能很有效地对束晕混沌进行控制,并能达到消除束晕及其再生现象的理想结果.研究结果可望为实用强流加速器的研制提供有价值的参考 关键词： 小波函数控制器 多周期间隔 束晕-混沌 强流离子束     

Control of beam halo-chaos by sample function

The K-V beam through an axisymmetric uniform-focusing channel is studied using the particle--core model. The beam halo-chaos is found, and a sample function controller is proposed based on mechanism of halo formation and strategy of controlling halo-chaos. We perform multiparticle simulation to control the halo by using the sample function controller. The numerical results show that our control method is effective. We also find that the radial ion density changes when the ion beam is in the channel: not only can the halo-chaos and its regeneration be eliminated by using the sample function control method, but also the density uniformity can be found at the beam's centre as long as an appropriate control method is chosen.     

Adaptive robust control of chaotic oscillations in power system with excitation limits

With system parameters falling into a certain area, power system with excitation limits experiences complicated chaotic oscillations which threaten the secure and stable operation of power system. In this paper, to control these unwanted chaotic oscillations, a straightforward adaptive chaos controller based on Lyapunov asymptotical stability theory is designed. Since the presented controller does not need to change the controlled system structure and not to use any information of system except the system state variables, the designed controller is simple and desirable. Simulation results show that the proposed control law is very effective. This work is helpful to maintain the power system＇s security operation.[第一段]     

用滑模变结构控制方法实现外腔反馈式半导体激光器的混沌控制

通过增加外腔反馈式半导体激光器的激光反馈时间，使系统处于混沌状态，再采用滑模变结构控制方法实现这种激光器的混沌控制.该方法的优点是系统既能很快地获得稳定的输出激光，又能根据工程需要实现激光输出功率强度的灵活调整.理论分析和数值计算结果表明控制结果具有很强的稳定性和鲁棒性.研究结果对改善实际激光系统稳态输出的快速性、输出功率的灵活可调性和能量转换效率有较好的参考价值. 关键词： 混沌 外腔反馈式半导体激光器 滑模变结构控制 外腔长度     

三阶并联BUCK变换器的建模及非线性动力学行为初探

运用电路分析理论,根据KVL和KCL定理及理想运算放大器的特点,对并联DC-DC buck变换器建立了一个11维分段光滑的状态方程组,文中给出了详细的状态方程推导过程,然后对所建立的动力学模型的非线性动力学性质进行了初步研究,发现在一定参数和外部激励条件下,该系统出现混沌运动。     

超混沌振荡器的单变量单向耦合同步及其电路实验仿真

研究了一个超混沌振荡器的耦合同步问题,只用单变量单向耦合就可实现两个超混沌振荡器的同步.本方法的最大特点是易于工程实现.数值研究和电路实验仿真证明了本方法的有效性.电路实验仿真中出现一种新的同步现象,即系统的某个变量达到广义同步时,其他变量还可以实现精确同步.     

Coherence resonance in globally coupled neuronal networks with different neuron numbers

Because a brain consists of tremendous neuronal networks with different neuron numbers ranging from tens to tens of thousands, we study the coherence resonance due to ion channel noises in globally coupled neuronal networks with different neuron numbers. We confirm that for all neuronal networks with different neuron numbers there exist the array enhanced coherence resonance and the optimal synaptic conductance to cause the maximal spiking coherence. Furthermoremore, the enhancement effects of coupling on spiking coherence and on optimal synaptic conductance are almost the same, regardless of the neuron numbers in the neuronal networks. Therefore for all the neuronal networks with different neuron numbers in the brain, relative weak synaptic conductance (0.1 mS/cm²) is sufficient to induce the maximal spiking coherence and the best sub-threshold signal encoding.     

Small-World Connections to Induce Firing Activity and Phase Synchronization in Neural Networks

We investigate how the firing activity and the subsequent phase synchronization of neural networks with smallworld topological connections depend on the probability p of adding-links. Network elements are described by two-dimensional map neurons （2DMNs） in a quiescent original state. Neurons burst for a given coupling strength when the topological randomness p increases, which is absent in a regular-lattice neural network. The bursting activity becomes frequent and synchronization of neurons emerges as topological randomness further increases. The maximal firing frequency and phase synchronization appear at a particular value of p. However, if the randomness p further increases, the firing frequency decreases and synchronization is apparently destroyed.     

Random shortcuts induce phase synchronization in complex Chua systems

This paper studies how phase synchronization in complex networks depends on random shortcuts, using the piecewise-continuous chaotic Chua system as the nodes of the networks. It is found that for a given coupling strength, when the number of random shortcuts is greater than a threshold the phase synchronization is induced. Phase synchronization becomes evident and reaches its maximum as the number of random shortcuts is further increased. These phenomena imply that random shortcuts can induce and enhance the phase synchronization in complex Chua systems. Furthermore, the paper also investigates the effects of the coupling strength and it is found that stronger coupling makes it easier to obtain the complete phase synchronization.