时变多变量系统辨识的一种方法

本文提出时变多变量系统辨识的一种新方法，并分析了算法的收敛性和稳定性。仿真例子表明所提出算法是有效的。     

固定网综合信息平台的建设

详细介绍了中兴ZXF118固定网综合业务信息平台的结构、建设方案及其组网方案。     

原油换热网络Simulink动态仿真中提高运行速度的问题

提出状态空间离散化的思想,建立换热器的动态机理模型,然后通过Simulink模块化进行连接,对换热网络进行动态仿真。在大规模原油换热网络的仿真中,采用存储初值和切断代数环的方法,使换热网络的收敛速度得到了很大的提高,为复杂换热网络的动态仿真和实时优化打下了基础。这种方法,还可适用于一般石油化工过程装置的大规模动态仿真运行中。     

三网融合的技术现状和未来发展

三网融合是网络发展的主要方向,无线网络是接入有线网络的一个重要途径。本文主要概述了因特网、电信网络、有线电视网络和无线网络的技术现状;分析在三网融合的形势下,它们各自都可以为发展未来包含现在由三种网络提供的所有服务的综合业务网提供核心技术的能力;指出没有单个网络技术能够成为无争议的赢家:融合的网络将具有异构网络集合的特征,提供多种多样的服务;然后在更广阔的视野上阐明了在三网融合之后的未来全局多媒体网络的特征以及建立具有这样的特征的网络所面临的挑战和所需要的变革和创新。     

基于模型设计的数字集群分组数据业务的实现

为解决数字集群通信系统中图像、视频等大数据业务的传输问题,深入分析数字集群空中接口协议栈的结构,重点研究分组数据业务提供者子网相关汇聚协议的结构和原理。基于模型设计方法设计该协议的相关功能模块,并进行编码实现。开发中使用IBM Rational Rhapsody这一基于UML建模的开发工具,使整个开发过程简洁而清晰。最后,通过对协议进行一致性测试,证明协议参数及流程符合数字集群通信系统协议标准。     

一种新的修正恒模算法

阐述了恒模算法(CMA)、修正恒模算法(MCMA)和判决引导(DD)算法的基本原理。针对CMA和MCMA收敛速度慢,固定步长条件下收敛速度和剩余误差之间存在矛盾的缺陷,在分析CMA误差特性的基础上,利用DD算法误差函数的模值和判决器输出构造新的误差函数,提出了一种新的变步长MCMA。新算法在加快收敛速度的同时保持小的剩余误差。仿真结果表明,新算法比CMA和MCMA收敛速度快,均衡输出剩余码间干扰(ISI)小而且能克服相位偏移,具有很好的实用性。     

Adaptive tracking control of leader–follower systems with unknown dynamics and partial measurements

In this paper, a decentralized adaptive tracking control is developed for a second-order leader–follower system with unknown dynamics and relative position measurements. Linearly parameterized models are used to describe the unknown dynamics of a self-active leader and all followers. A new distributed system is obtained by using the relative position and velocity measurements as the state variables. By only using the relative position measurements, a dynamic output–feedback tracking control together with decentralized adaptive laws is designed for each follower. At the same time, the stability of the tracking error system and the parameter convergence are analyzed with the help of a common Lyapunov function method. Some simulation results are presented to validate the proposed adaptive tracking control.     

线性多智能体系统一致性问题的部分稳定性方法（英文）

A linear transformation is proposed to deal with the consensus problem of high-order linear multi-agent systems(LMASs).In virtue of the linear transformation, the consensus problem is equivalently translated into a partial stability problem. We discuss three issues of the LMASs under a generalized linear protocol: 1) to find criteria of consensus convergence; 2) to calculate consensus function; 3) to design gain matrices in the linear consensus protocol. Precisely, we provide a necessary and sufficient criterion of consensus convergence in terms of Hurwitz stability of a matrix and give an analytical expression of the consensus function. In addition, we set up a relation between the gain matrices in the protocol and the convergence time and consensus accuracy of the agents, and then design the gain matrices with respect to a pre-specified convergence time and a required consensus accuracy.     

基于Wiener结构的软测量模型及辨识算法

Wiener模型结构能有效地表征系统的动态和静态特性, 因此这里首先基于这一结构建立软测量模型, 利用动态与静态子模型分别建立辅助变量与主导变量间的动态与静态关系, 并说明该软测量模型的可行性, 给出模型具体表达式. 其次, 针对所提模型, 提出分步辨识方式获得最优模型参数, 说明其可行性. 再次, 为了减少计算和实现模型在线更新, 这里提出参数辨识递推算法, 并给出软测量模型参数的收敛性结论. 通过实例仿真, 可以看出本文提出模型的可行性, 以及分步辨识方式与递推算法的有效性.     

AN ITERATIVE FILTERING ALGORITHM FOR NON-FOURIER FREQUENCY ESTIMATION

Abstract. We study an iterative filtering method to estimate frequencies of random Gaussian sinusoids in white noise. The method uses higher order crossings and takes advantage of a fixed point to guide the use of bandpass filtering in an attempt effectively to increase the signal-to-noise ratio. At each iteration the expected zero-crossing rate is estimated from independent time series. Convergence occurs with any prespecified probability less than one.