实现一键控制的电视节目多模式审片系统

本文结合浙江广电集团自主研发的基于视音频基带信号的审片系统建设,探讨一种可广泛适用于电视台日常技术质量评审和内容审片的高度集成化、操作简便化、界面友好化的技术型新应用,一种汇聚各类专业及民用设备接口、实现节目客观及主观对比评审的综合应用平台。     

Active disturbance rejection control for robotic systems: A review

Over the past few decades, robotics technology and applications have attracted considerable interest from many researchers both in academia and industry. This interest mainly covers the development and implementation of control strategies for robotic systems such as adaptive control, robust control, active disturbance rejection control (ADRC), etc. The continuous complexity of physical systems that are being controlled necessitates some practical considerations for the controller design, analysis and implementation. In recent years, the ADRC approach has become a popular control framework adopted in robotic applications due to many advantages such as its simplicity of implementation as well as its robustness and ability to reject varying uncertainties and disturbances. This review paper provides a comprehensive assessment and insights into various ADRC frameworks developed for robotic systems and highlights the basic problems involved in this field. By a thorough review of existing ADRC schemes for robotic systems, recent results of these strategies that have broad implications are classified and analyzed in terms of their structural features and computational complexity. Moreover, we attempt in this review paper to provide a reference source in this area to help researchers and practitioners select a suitable ADRC structure for solving robotic application problems as well as to light up unsolved problems in the field. An example that illustrates the practical application of the linear and nonlinear ADRC to the 4-DOF robotic arm is presented in this review paper.     

Active learning in robotics: A review of control principles

Active learning is a decision-making process. In both abstract and physical settings, active learning demands both analysis and action. This is a review of active learning in robotics, focusing on methods amenable to the demands of embodied learning systems. Robots must be able to learn efficiently and flexibly through continuous online deployment. This poses a distinct set of control-oriented challenges—one must choose suitable measures as objectives, synthesize real-time control, and produce analyses that guarantee performance and safety with limited knowledge of the environment or robot itself. In this work, we survey the fundamental components of robotic active learning systems. We discuss classes of learning tasks that robots typically encounter, measures with which they gauge the information content of observations, and algorithms for generating action plans. Moreover, we provide a variety of examples – from environmental mapping to nonparametric shape estimation – that highlight the qualitative differences between learning tasks, information measures, and control techniques. We conclude with a discussion of control-oriented open challenges, including safety-constrained learning and distributed learning.     

模糊控制技术简析

本文对模糊控制技术作一形象而简洁的解析，并对有关问题进行了讨论。     

The germanium selenide/polymer bilevel photoresist system — A review

The germanium selenide/polymer bilevel photoresist system is reviewed covering the literature up to mid 1984. The review is oriented towards the prospects of germanium selenide as a high resolution photoresist for VLSI production and covers the preparation of the lithographic product and its processing. These processes include sensitization, exposure, fixing and development. The mechanism of silver photodoping in germanium selenide is also discussed. After considering the outstanding problems, it is concluded that the photoresist system has reached a sufficient degree of maturity for implementation in a production environment.     

Expert Operator's Associate: A knowledge-based system for spacecraft control

This paper presents the Expert Operator's Associate (EOA) project, which studies the applicability of Expert Systems to day-to-day space operations. A prototype Expert System is developed, which operates on-line with an existing spacecraft control system at the European Space Operations Centre, and functions as an “operator's assistant” in controlling satellites. The prototype is demonstrated using an existing real-time simulation model of the MARECS-B2 telecommunication satellite. By developing a prototype system, it is examined to what extent the reliability and effectiveness of operations can be enhanced by AI based support. In addition, the study examines the questions of acquisition and representation of the “knowledge” for such systems, and the feasibility of “migration” of some (currently) ground-based functions into future space-borne autonomous systems.     

A control system for photolithographic sequences

The goal of our control system is to improve the reliability, accuracy, and economy of operation of a sequence of interrelated processes. We achieve this task by using well known, rigorous statistical techniques to continuously monitor process parameters, detect out-of-control equipment, and then optimally adjust relevant machine inputs to bring the process back on target We have implemented the supervisory control system on the photolithography sequence in the Berkeley Microfabrication Laboratory, where it has been conclusively proven that the supervisory control system increases significantly the capability of the entire process. The supervisory control algorithms, consisting of feedback and feed-forward control, multivariate, model-based statistical process control (SPC), and automated specification management algorithms, are independent of machine and/or process, and can be applied to any semiconductor manufacturing sequence     

A neural network-based tracking control system

An application of the backpropagation neural network to the tracking control of industrial drive systems is presented. The merits of the approach lie in the simplicity of the scheme and its practicality for real-time control. Feedback error trajectories, rather than desired and/or actual trajectories, are employed as inputs to the neural network tracking controller. It can follow any arbitrarily prescribed trajectory even when the desired trajectory is changed to that not used in the training. Simulation was performed to demonstrate the feasibility and effectiveness of the proposed scheme     

A review of bulk semiconductor microwave control components

The use of semiconductor bulk phenomena in implementing microwave control components is reviewed. The principal phenomena explored to date have been the dielectric and conductive properties of the plasma state. A brief discussion of these properties is presented to identify their potentially useful characteristics for microwave control. It is noted that to date only the conductive plasma properties have proved practical for application. More specifically, electron-hole plasmas, generated by impact ionization or by contact injection, existing in silicon have been successfully incorporated in microwave circuitry to yield control components with substantially improved performance over junction devices. Examples of the design, fabrication, and results obtained for bulk semiconductor control components are presented illustrating the application of impact ionization to limiter and duplexer operation and contact injection utilizing a window configuration to switching and phase shifting operation. The principal improvements are gained through achieving at least an order of magnitude increase in power handling and full guide bandwidth in utilizing the window. In addition, it is noted that the bulk approach is virtually the only practical semiconductor approach for millimeter wave control components.     

Call admission control schemes: a review

Over the last few years, a substantial number of call admission control (CAC) schemes have been proposed for ATM networks. We review the salient features of some of these algorithms. Also, we quantitatively compare the performance of three of these schemes     

Active noise control: a tutorial review

Active noise control (ANC) is achieved by introducing a cancelling “antinoise” wave through an appropriate array of secondary sources. These secondary sources are interconnected through an electronic system using a specific signal processing algorithm for the particular cancellation scheme. ANC has application to a wide variety of problems in manufacturing, industrial operations, and consumer products. The emphasis of this paper is on the practical aspects of ANC systems in terms of adaptive signal processing and digital signal processing (DSP) implementation for real-world applications. In this paper, the basic adaptive algorithm for ANC is developed and analyzed based on single-channel broad-band feedforward control. This algorithm is then modified for narrow-band feedforward and adaptive feedback control. In turn, these single-channel ANC algorithms are expanded to multiple-channel cases. Various online secondary-path modeling techniques and special adaptive algorithms, such as lattice, frequency-domain, subband, and recursive-least-squares, are also introduced. Applications of these techniques to actual problems are highlighted by several examples     

卷染机中央控制系统

针对多台卷染机实时监测与控制的实际需求,根据西门子S7-200系列PLC的特点设计了一套成本低、扩展性强的基于串口服务器的工业以太网设备联网方案.计算机通过PPI协议同时对多台S7-200 PLC混合存储区多组数据的一次读写技术,实现集中控制多台卷染机,检测设备状态、上传和下载配方和显示主要工艺参数图表的功能.通过调试检测,系统能够平稳的长时间运行,完全可以满足实际使用需要.     

门禁系统设计

本文门禁系统采用89S52单片机作为控制核心,外围加蜂鸣器控制电路、开门指示灯电路、电控锁控制电路以及8位数码管显示电路等。利用射频卡完成刷卡进门,按钮出门功能。     

The federated computer-aided control design system

The structure and operation of the Federated Computer-Aided Control Design System is discussed. The system is termed "Federated" to indicate that it consists of several independently developed subsystems tied together by a unified database. The objective is to provide the user with a unified system that spans the entire control design problem: modeling, design, and simulation. This paper discusses how the management of the database is handled and the operation of an overall system supervisor. A set of supervisor commands are given which allow considerable flexibility to add subsystems and to tailor commands to the individual installation.     

Correlation dimension of optokinetic nystagmus as evidence of chaosin the oculomotor system

The correlation dimension of optokinetic nystagmus (OKN) eye movements from a normal human subject was computed. Results indicate a value of about 2.8, indicating the possibility of chaotic dynamics in OKN. This was found to differ from the dimension of an artificial OKN signal with the same second-order statistics.