Input‐output triggered control using ‐stability over finite horizons

This paper investigates stability of nonlinear control systems under intermittent information. Following recent results in the literature, we replace the traditional periodic paradigm, where the up‐to‐date information is transmitted and control laws are executed in a periodic fashion, with the event‐triggered paradigm. Building on the small gain theorem, we develop input–output triggered control algorithms yielding stable closed‐loop systems. In other words, based on the currently available (but outdated) measurements of the outputs and external inputs of a plant, a mechanism triggering when to obtain new measurements and update the control inputs is provided. Depending on the noise in the environment, the developed algorithm yields stable, asymptotically stable, and ‐stable (with bias) closed‐loop systems. Control loops are modeled as interconnections of hybrid systems for which novel results on ‐stability are presented. The prediction of a triggering event is achieved by employing ‐gains over a finite horizon. By resorting to convex programming, a method to compute ‐gains over a finite horizon is devised. Finally, our approach is successfully applied to a trajectory tracking problem for unicycles. Copyright © 2014 John Wiley & Sons, Ltd.     

Output feedback control of discrete‐time systems with self‐triggered controllers

This paper is concerned with the self‐triggered output feedback control for discrete‐time systems, where an updating instants scheduler is implemented to determine when the controller is updated. For both the full‐order and reduced‐order observer cases, the updating instants are determined, respectively, where only the information of the estimated state at the current updating instant is required to obtain the next updating instant. It is shown that, with the proposed self‐triggered control schemes, not only the updating frequency is significantly reduced, but also the uniform ultimate boundedness of the closed‐loop system is guaranteed. Finally, a numerical example is used to verify the effectiveness and the merits of the proposed approaches. Copyright © 2014 John Wiley & Sons, Ltd.     

Electrostatic force microscopy of self-assembled peptide structures

In this report electrostatic force microscopy (EFM) is used to study different peptide self-assembled structures such as tubes and particles. It is shown that not only geometrical information can be obtained using EFM, but also information about the composition of different structures. In particular we use EFM to investigate the structures of diphenylalanine peptide tubes, particles, and CSGAITIG peptide particles placed on pre-fabricated SiO(2) surfaces with a backgate. We show that the cavity in the peptide tubes could be due to the presence of water residues. Additionally we show that self-assembled amyloid peptides form spherical solid structures containing the same self-assembled peptide in its interior. In both cases transmission electron microscopy is used to verify these structures. Further, the limitations of the EFM technique are discussed, especially when the observed structures become small compared with the radius of the AFM tip used. Finally, an agreement between the detected signal and the structure of the hollow peptide tubes is demonstrated.     

Understanding post‐adoption IS usage stages: an empirical assessment of self‐service information systems

Organisations have invested in self‐service information systems (IS) to provide a direct interface for service delivery. Enriching the usage of these systems can provide organisations with immense benefits. However, limited research has been directed towards understanding post‐adoption IS usage behaviour in general and specifically in the context of self‐service IS. This study proposes post‐adoption IS usage behaviour as a broader concept constituting feature level usage of IS, integration of IS in the work system and exploration of new uses of IS. We evaluate how the new conceptualisation can be used to classify users at different stages of self‐service IS usage. Further, we examine user perceptions that differentiate among the users situated at different self‐service IS usage stages. Data were collected in the context of a self‐service Web‐based IS to validate the post‐adoption IS usage constructs and to examine the proposed thesis. The newly developed conceptual structure and measures for post‐adoption IS usage behaviour exhibit strong psychometric properties. The analysis shows three distinct post‐adoption IS usage stages and highlights that usefulness, user‐initiated learning, ease of use, satisfaction and voluntariness of use differentiate users at the different stages of post‐adoption IS usage. The results show that these variables aggregate into value confirmation and learning orientation as two higher‐level concepts. Further, we evaluate the predictive efficacy of the research model in classifying users into different post‐adoption self‐service IS usage stages. Implications are drawn for future research.     

可重构阵列自主容错方法研究

设计了一种具有故障自诊断和自修复能力的可重构阵列单元结构。在功能细胞单元内部实现分布式的故障自诊断,在测试到故障后,可以自主地将距故障单元最近的空闲单元进行替换,接着自动取消受故障影响的线网,并在新的布线端点间对这些线网重新布线。以4位并行乘法器为例,实验结果证明了可重构单元阵列的故障自修复能力,并验证其重构时间较短且可靠性较高。     

嵌入式Linux环境下USB摄像头应用程序设计

本文提出一种方法,可以通过简单的编程实现对原本＂不可用的＂USB摄像头进行测试及应用实现。     

浅谈网络摄像机在污水处理厂中的应用

视频监控系统是污水处理厂一个重要的子系统,监视对象主要是工艺设施、重要设备、变电所和主要道路,对污水厂的运行、维护、安防有着重要的意义。本文对视频监控系统中的模拟摄像机和网络摄像机做了一个简单的对比,并对于网络摄像机应用于污水处理厂的合理性进行一定的探讨和研究。     

一种基于混合核函数的SOM网络流量分类方法

由于传统的自组织映射SOM方法对高维、非线性的网络流量数据的分类性能效果不佳,本文引入核方法,提出一种基于混合核函数的SOM(MIX-KSOM)网络流量分类方法。该方法结合了全局性和局部性核函数的优点,采用径向基函数和多项式函数线性组合构成的混合核函数代替内积作为距离度量,使输入空间中复杂的流量样本在特征空间得以简化。实验结果表明,采用MIX-KSOM方法能较好地对网络流量进行分类,较传统的SOM、采用单一核函数的SOM(KSOM)分类方法性能更好,分类准确率也高于NB方法。     

基于Truevision3D的虚拟现实技术

在介绍TV3D引擎的基础上重,点讨论了在Visual C#.NET中使用TV3D引擎实现虚拟现实的方法和步骤.文中采用动态摄像机,当操作键盘或鼠标来移动目标物体时,场景视角和摄像机会自动调整,很简单地就实现了虚拟漫游.实验结果表明,使用TV3D引擎来实现虚拟现实,很多底层的功能很容易实现.