一种新的环网故障诊断与重构算法

为提高环网的容错性能，文献（1）提出了一种基于事件驱动的故障重构算法，其缺点是该算法只能容忍连线故障。本文给出一种新的采用时钟起时驱动的重构算法，该算法既能容忍连线故障也能容忍站（或节点）故障，且令牌控制较文献（1）的简单。     

Evolving Fault-Tolerant Neural Networks

In this paper, genetic algorithm is used to help improve the tolerance of feedforward neural networks against an open fault. The proposed method does not explicitly add any redundancy to the network, nor does it modify the training algorithm. Experiments show that it may profit the fault tolerance as well as the generalisation ability of neural networks.     

Multivariable adaptive control: A survey

Adaptive control is a control methodology capable of dealing with uncertain systems to ensure desired control performance. This paper provides an overview of some fundamental theoretical aspects and technical issues of multivariable adaptive control, and a thorough presentation of various adaptive control schemes for multi-input–multi-output systems, literature reviews on adaptive control foundations and multivariable adaptive control methods, and related technical problems. It covers some basic concepts and issues such as certainty equivalence, stability, tracking, robustness, and parameter convergence. It discusses some of the most important topics of adaptive control: plant uncertainty parametrization, stable controller adaptation, and design conditions for different adaptive control schemes. The paper also presents a detailed study of well-developed multivariable model reference adaptive control theory and design techniques. It provides an introduction to multivariable adaptive pole placement and adaptive nonlinear control, and it concludes by identifying some open research problems.     

Particle filtering for sensor fault diagnosis and identification in nonlinear plants

We propose a novel method for sensor monitoring and fault-tolerant estimation in systems described by general stochastic nonlinear and/or non-Gaussian state-space models. Faults are defined as abruptly occurring calibration errors, causing the sensor readings to be biased or scaled. Actuators and the process itself are assumed to be fault free. The main novelty of the work is an adaptive particle filter, whose configuration changes in order to diagnose sensor faults and to compensate for their effects. The presence, type and magnitude of sensor faults are determined through hypothesis testing and maximum likelihood estimation, based on the difference between the measurements and the particle filter estimates. The validity of the proposed approach was demonstrated through simulations on a drum-boiler model, although its effectiveness is not conditioned on any particular feature of the considered example.     

Mooring system diagnosis and structural reliability control for position moored vessels

Early diagnosis and fault-tolerant control are essential for safe operation of floating platforms where mooring systems maintain vessel position and must withstand environmental loads. This paper considers two critical faults, line breakage and loss of a buoyancy element and employs vector statistical change detection for timely diagnosis of faults. Diagnosis design is scrutinised and a procedure is proposed based on specified false alarm probability and estimation of the distribution of the test statistics on which change detection is based. A structural reliability index is applied for monitoring the safety level of each mooring line and a set-point chasing algorithm accommodates the effects of line failure, as an integral part of the reliability-based set-point chasing control algorithm. The feasibility of the diagnosis and of the fault-tolerant control strategy is verified in model basin tests.     

一种水下机器人传感器故障诊断与容错控制方法

采用自适应滤波器ＦＩＲ 对水下机器人进行在线自适应建模,并利用ＬＭＳ算法来调节滤波器的权系数．通过对滤波器权系数和误差信号平方的分析,实时检测出传感器的故障,并应用ＦＩＲ 滤波器输出替代故障传感器信号,实现传感器故障情形下水下机器人容错控制．应用该方法对Ｏｕｔｌａｎｄ１０００水下机器人传感器的故障进行检测和容错,实验结果表明所提故障检测方法准确可靠,具有较好的容错效果．     

基于DBNs理论的多传感器信息融合方法

为了提高多传感器信息融合系统的动态优化和容错能力,应用动态贝叶斯网络理论对传统联邦滤波器进行改造,得到了一种可以实现高动态环境条件下多传感器信息主动动态优化配置的信息融合方法．仿真结果表明,这种信息融合方法具有较强的动态适应和容错能力．     

一类不确定系统鲁棒容错D-稳定性分析

研究不确定系统D-稳定鲁棒容错H∞控制问题.基于连续型执行器故障模式,利用线性矩阵不等式(LMI)给出了系统D-稳定的鲁棒容错输出反馈控制器存在的充分条件,并将动态输出反馈控制器设计方法归结为求解一族线性矩阵不等式组.仿真示例表明,无论执行器是否发生故障,所得到的动态输出反馈控制器不仅保证闭环系统是D-稳定的,而且满足给定的H∞干扰指标,从而验证了所提出的控制器设计方法的有效性.     

基于微包协议的三模冗余容错计算机无缝重构算法

提出了一种基于微包传输协议的系统重构算法,制定了系统重构命令协议,设计了关键数据区的一致性管理算法.不需增加额外的硬件资源和系统开销,利用三机之间的数据交换通道,即可实现三模冗余容错计算机的无缝重构,保证系统在故障恢复重构时工作的连续性.同时,完善的重构命令协议使得重构软件的开发可以采用面向对象思想构成标准化的中间件,具有很强的扩展能力,为构建标准化嵌入式三模冗余容错计算机内核奠定了良好的技术基础.     

一种高可用对象存储系统的数据组织研究

通过对现有不同存储系统的容错能力进行认真分析,提出了一种新的高可用对象存储系统架构HAOSS(High Availability Object Storage System).HAOSS系统分两层:上层存储的对象采用在多个设备之间的数据备份的方式来实现高可靠性,多个备份能够同时对外提供服务,保证系统的高性能,但是磁盘利用率比较低.下层采用RAID5,RAID6以及RAID_Blaurn等不同的容错编码来实现多盘容错功能,磁盘利用率较高,但是由于编码越来越复杂,容错编码需要大量的计算,性能受到很大的影响.在数据组织上,新对象和热点对象放上层,这样大部分请求都能够在上层命中,从而保证系统的性能.下层主要用来放不常用的数据.磁盘利用率比较高.在1000Mbps以太网环境下对HAOSS性能进行了测试,结果表明,HAOSS顺序读写性能都比较好,最大可以达到104MB/s,达到1000Mb以太网的理论最大物理带宽.