ARINC659总线桥接的设计及对总线同步的影响分析

ARINC659总线因其在时间和空间上均提供了完备的故障冗余和操作健壮性,已经逐渐在对数据通信确定性及故障沉默和屏蔽要求较高的航天领域中展开应用。为了使ARINC659总线能够更好的适应航天器综合电子系统的高度冗余容及分布式控制的需求,对一种能够在不同设备中ARINC659总线之间相互桥接的技术进行了研究,进而实现分布式综合电子系统中所有硬件模块的统一时序规划和通信调度,可以显著提升系统中的资源共享、并行处理、故障冗余及分布式控制能力,同时也为关键系统中不同设备中的硬件模块间实现严格的时序关系操作提供了一种解决方案。最后就桥接对ARINC659总线同步机制的影响进行了分析,据此提出了桥接设计的约束和实现规则。     

基于高速同步485总线通信的多通道伺服控制器设计

文章介绍了一种四通道数字伺服控制器的系统设计和实现方案;针对研制任务中高通信波特率和多路控制的要求,设计了以XC164为主控制芯片,基于JS71175型485协议处理器的高速同步485总线通信的多通道伺服控制器,该控制器在提高了同步485通信速率的同时可以实现四路伺服机构的控制、伺服机构动作的锁定及解除锁定,具有体积小、功率大、集成度高特点;实验结果表明,在保证通信稳定的前提下,通信波特率可达2 Mbit/s ,总功率可达1 600 W,满足任务要求。     

叶子节点对于网络同步能力影响的研究

系统考察了叶子节点对于网络同步能力的影响,发现随着叶子节点比例的增加,网络的同步能力下降,同时给出了数值结果以及理论解释. 关键词： 复杂网络 叶子节点 同步能力     

具有随机节点结构的复杂网络同步研究

针对具有随机节点结构的复杂网络, 研究其同步问题. 基于Lyapunov稳定性理论和线性矩阵不等式技术给出了复杂网络同步稳定的充分性条件, 该充分性条件不仅与复杂网络的状态时延有关, 还与节点结构的概率分布有关. 数值仿真表明本文方法的有效性. 关键词： 复杂网络 随机节点 同步稳定 时滞     

基于CAN总线的光电信息采集传输系统设计

采用8位单片机87C51FA和新一代CAN控制器SJA1000,实现了航行器黑匣子中多路光电信息采集传输系统的设计,并洋细叙述了模块化的节点软硬件设计方案。     

基于增强同步方法的对称双弹簧振子系统的混沌同步及电路仿真

研究了混沌系统--对称双弹簧振子系统的同步控制及其电路实现问题. 基于对称双弹簧振子系统的混沌特性,采用增强同步方法,设计了对称双弹簧振子系统的非复制响应系统,理论分析给出了实现对称双弹簧振子系统混沌同步的控制参数的取值范围. 数值模拟和电路仿真证实了该方法的有效性和硬件的可实现性.     

基于状态观测器的一类混沌系统的反同步

基于状态观测器方法和极点配置技术，设计出一种反同步方法，使得一类混沌系统达到了反同步.与其他反同步方法相比，所设计的方法更为简便，并且达到反同步的时间短.数值模拟验证了所提方案的有效性. 关键词： 状态观测器 极点配置技术 反同步     

一种面向监测区域的链路质量和覆盖保证的节点调度算法

为了降低监测区域能耗总开销和减少网络传输时延,保证监测区域网络链路质量、实现网络的全面覆盖和延长网络生命周期,设计了一种基于扫描线和节点自适应调整苏醒时隙的节点调度方案。首先,定义了系统模型即网络假设和调度目标;然后判断网络是否实现当完全覆盖,当不能全面覆盖时,通过调整部分节点的感知半径来实现网络的全面覆盖;当链路质量过差导致传输延迟过大时,通过设计从源节点到目标节点的增加节点苏醒时隙,并根据节点的剩余能量和传输延迟阈值来减少数据传输次数以降低传输延迟。在NS2环境下进行实验,结果表明：文中方法能有效地实现传感器网络监测区域的全面覆盖,降低网络的传输延迟和提高网络的生命周期,与其他节点调度相比,具有很强的优越性和实用性。     

混沌时滞神经网络系统的反同步

利用状态观测器方法研究了一类带时滞的混沌神经网络系统的反同步问题.与应用于其他混沌系统的反同步方法相比,提出的方法更为简便,并且利用极点配置技术,只要通过调整特征值来实现反同步速率的快慢.最后,给出了数值例子和计算机仿真结果来验证该方案的有效性. 关键词： 混沌神经网络 状态观测器 极点配置技术 反同步     

基于EPL的分布式时钟同步方法

工业以太网协议Ethernet POWERLINK(EPL)分布式站点的时钟同步方法并不能在实时运行过程中保持很高的同步精度,无法满足特定环境下的控制要求。研究了工业以太网协议EPL的两种时钟同步机制,通过数理计算分析了时钟同步误差产生的原因,针对误差较大的缺点,提出了减小误差的方法。通过迭代计算消除了主从站同步报文往返的路径延迟,并设计基于现场可编程门阵列(FPGA)的集线器(Hub)用于EPL菊花链网络拓扑结构,有效地克服了时钟同步报文往返传输延时不一致的缺点,测试结果表明新方法明显优于协议自身的时钟同步方法,对于实现基于EPL的高精度分布式时钟同步网络具有重要意义。     

Synchronization Dynamics in Non-Normal Networks: The Trade-Off for Optimality

Synchronization is an important behavior that characterizes many natural and human made systems that are composed by several interacting units. It can be found in a broad spectrum of applications, ranging from neuroscience to power-grids, to mention a few. Such systems synchronize because of the complex set of coupling they exhibit, with the latter being modeled by complex networks. The dynamical behavior of the system and the topology of the underlying network are strongly intertwined, raising the question of the optimal architecture that makes synchronization robust. The Master Stability Function (MSF) has been proposed and extensively studied as a generic framework for tackling synchronization problems. Using this method, it has been shown that, for a class of models, synchronization in strongly directed networks is robust to external perturbations. Recent findings indicate that many real-world networks are strongly directed, being potential candidates for optimal synchronization. Moreover, many empirical networks are also strongly non-normal. Inspired by this latter fact in this work, we address the role of the non-normality in the synchronization dynamics by pointing out that standard techniques, such as the MSF, may fail to predict the stability of synchronized states. We demonstrate that, due to a transient growth that is induced by the structure’s non-normality, the system might lose synchronization, contrary to the spectral prediction. These results lead to a trade-off between non-normality and directedness that should be properly considered when designing an optimal network, enhancing the robustness of synchronization.     

Effect of Topology Structures on Synchronization Transition in Coupled Neuron Cells System

In this paper,by the help of evolutionary algorithm and using Hindmarsh–Rose(HR)neuron model,we investigate the efect of topology structures on synchronization transition between diferent states in coupled neuron cells system.First,we build diferent coupling structure with N cells,and found the efect of synchronized transition contact not only closely with the topology of the system,but also with whether there exist the ring structures in the system.In particular,both the size and the number of rings have greater efects on such transition behavior.Secondly,we introduce synchronization error to qualitative analyze the efect of the topology structure.Furthermore,by fitting the simulation results,we find that with the increment of the neurons number,there always exist the optimization structures which have the minimum number of connecting edges in the coupling systems.Above results show that the topology structures have a very crucial role on synchronization transition in coupled neuron system.Biological system may gradually acquire such efcient topology structures through the long-term evolution,thus the systems’information process may be optimized by this scheme.     

Effect of Topology Structures on Synchronization Transition in Coupled Neuron Cells System

In this paper, by the help of evolutionary algorithm and using Hindmarsh-Rose (HR) neuron model, we investigate the effect of topology structures on synchronization transition between different states in coupled neuron cells system. First, we build different coupling structure with N cells, and found the effect of synchronized transition contact not only closely with the topology of the system, but also with whether there exist the ring structures in the system. In particular, both the size and the number of rings have greater effects on such transition behavior. Secondly, we introduce synchronization error to qualitative analyze the effect of the topology structure. Furthermore, by fitting the simulation results, we find that with the increment of the neurons number, there always exist the optimization structures which have the minimum number of connecting edges in the coupling systems. Above results show that the topology structures have a very crucial role on synchronization transition in coupled neuron system. Biological system may gradually acquire such efficient topology structures through the long-term evolution, thus the systems' information process may be optimized by this scheme.     

Synchronization of Phase Oscillators in Networks with Certain Frequency Sequence

Synchronization of Kuramoto phase oscillators arranged in real complex neural networks is investigated. It is shown that the synchronization greatly depends on the sets of natural frequencies of the involved oscillators. The influence of network connectivity heterogeneity on synchronization depends particularly on the correlation between natural frequencies and node degrees. This finding implies a potential application that inhibiting the effects caused by the changes of network structure can be bManced out nicely by choosing the correlation parameter appropriately.     

Global Exponential Projective Synchronization and Lag Synchronization of Hyperchaotic Lii System

This paper investigates the projective synchronization and lag synchronization of a new hyperchaotic system [Physica A 364 （2006） 103]. On the basis of Lyapunov stability theory, two novel nonlinear controllers are respectively designed to guarantee the global exponential projective synchronization （including complete synchronization and antisynchronization） and lag synchronization. Finally, numerical simulations are given to show the effectiveness of the main results.     

Modified Cascade Synchronization Scheme for Discrete-Time Hyperchaotic Systems

In this paper, the modified cascade synchronization scheme is proposed to investigate the synchronization in discrete-time hyperchaotic systems. By choosing a general kind of proportional scaling error functions and based on rigorous control theory, we take the discrete-time hyperchaotic system due to Wang and 3D generalized Henon map as two examples to achieve the modified cascade synchronization, respectively. Numerical simulations are used to verify the effectiveness of the proposed technique.     

Study on Proportional Synchronization of Hyperchaotic Circuit System

In this paper, the proportional synchronization between drive system and response system is achieved by using the concept of generalized synchronization. The phase space of all variables in response system can be expanded and compressed flexibly. Meanwhile, the 6-D hyperchaotic chua's circuit is considered as an illustrative example to demonstrate the effectiveness of the proposed approach. Furthermore, focusing on the shortcoming of the long transient behavior during the process of synchronization, a feedback method is adopted to shorten the transitional time of synchronization, which will provide an effective way for speeding up the transmitting velocity of code in chaotic multiple access communication.     

超混沌的同步化

提出了一种同步化超混沌系统的新方法。此法通过调节响应系统的参数来完成。参数的变化可用Routh-Hurwitz稳定性判据来确定。它是同步化的一般方法,并对外部噪声具有鲁棒性。     

超混沌Chen系统和超混沌Roessler系统的异结构同步

用两种不同的方法——主动控制同步法和自适应控制同步法实现超混沌Chen系统和超混沌Roessler系统的异结构同步，各自设计了不同的控制器，使得响应系统与驱动系统同步．当参数已知时，采用主动控制法，方法简单有效且不需要构造Lyapunov函数，实现同步的时间短；当系统参数未知或结构不确定时，基于Lyapunov稳定性理论，给出自适应同步控制器的系统设计过程和参数自适应律，使得系统达到同步同时识别未知参数，数值模拟验证了两种方法的有效性。