The Network based on intelligent control system
Neural Network Control Robot Learning

Neural Network Control Robot Learning Neural network control in robot learning is a complex and evolving field that holds great promise for the future of robotics. As robots become increasingly integrated into our daily lives, it is essential to develop effective control systems that enable them to adapt and learn in dynamic environments. Neural networks offer a powerful approach to control and learning, allowing robots to process sensory information, make decisions, and improve their performance over time.One of the key challenges in neural network control for robot learning is the need to balance the trade-off between exploration and exploitation. In order to learn effectively, robots must explore their environment to gather information, but they must also exploit their existing knowledge to make decisions and take action. This balance is particularly important in real-world applications, where robots must operate in uncertain and changing conditions. Neural network control systems must be designed to enable robots to learn from their experiences while also making effective use of their existing knowledge.Another important consideration in neural network control for robot learning is the need to ensure safety and reliability. As robots become more autonomous and capable of learning from their experiences, it is essential to develop control systems that can guarantee safe and reliable behavior. Neural networks can be powerful tools for learning complex control policies, but they must be carefully designed and trained to ensure that they do not exhibit unsafe or unpredictable behavior. This requires a combination of advanced control algorithms, rigorous testing and validation, and a deep understanding of the potential risks and challenges associated with autonomous robots.In addition to safety and reliability, neural network control for robot learning must also consider the ethical and societal implications of autonomous robots. As robots become more integrated into our lives, it is essential to consider the impact of their behavior on human society. Neural network control systems must be designed to enable robots to interact with humans in a safe and socially acceptable manner, while also respecting ethical principles and legal regulations. This requires a holistic approach to robot learning, considering not only technical challenges, but also ethical, legal, and social considerations.Furthermore, neural network control for robot learning must also address the challenge of scalability and generalization. As robots are deployed in a wide range of applications and environments, it is essential to develop control systems that can generalize across different tasks and conditions. Neural networks offer the potential to learn complex control policies from data, but they must be carefully designed and trained to ensure that they can generalize effectively. This requires a deep understanding of the underlying principles of neural network control, as well as advanced techniques for training and optimization.Finally, neural network control for robot learning must consider the need for continual adaptation and improvement. As robots operate in dynamic and uncertain environments, they must be able to adapt and learn over time in order to maintain their performance. Neural network control systems must be designed to enable robots to continually update their control policies based on new experiences and information. This requires a combination of online learning algorithms, adaptive control techniques, and advanced optimization methods.In conclusion, neural network control for robot learning is a complex and challenging field that holds great promise for the future of robotics. By addressing the trade-off between exploration and exploitation, ensuring safety and reliability, considering ethical and societal implications, addressing scalability and generalization, and enabling continual adaptation and improvement, neural network control systems can enable robots to learn and adapt in dynamic environments. This requires a multidisciplinary approach, combining advanced techniques from control theory, machine learning, ethics, and sociology. As we continue to develop and deploy autonomous robots, neural network control for robot learning will play a crucial role in enabling robots to operate safely, effectively, and ethically in our society.。
在数字时代发展有效的信息识别技能英语作文

在数字时代发展有效的信息识别技能英语作文In the digital age, information is constantly at our fingertips. With the click of a button, we can access a wealth of knowledge and data from around the world. However, this abundance of information also comes with its own set of challenges, particularly in terms of identifying what is accurate, reliable, and trustworthy. In order to navigate this digital landscape effectively, it is crucial to develop strong information identification skills.One of the key skills needed to effectively identify information in the digital age is critical thinking. Critical thinking involves the ability to analyze and evaluate information, as well as the sources from which it comes. This means questioning the credibility of sources, considering biases, and weighing the evidence presented. By developing strong critical thinking skills, individuals can better discern between reliable and unreliable information.Another important skill for information identification is media literacy. In today's society, we are bombarded with information from a variety of sources, including social media, news outlets, and websites. Media literacy involves the ability to critically analyze and interpret media messages, as well as understand the techniques used to manipulate information. Byhoning media literacy skills, individuals can better navigate the vast amount of information available to them and make informed decisions about what to trust.Furthermore, it is essential to be able to evaluate the credibility of sources in the digital age. With the rise of fake news and misinformation, it can be challenging to determine what sources are reliable and trustworthy. By learning how to assess the credibility of sources based on factors such as expertise, objectivity, and reputation, individuals can avoid falling victim to false information and make well-informed decisions.Additionally, staying informed about current events and trends can help individuals develop a sense of what information is timely and relevant. By actively seeking out information from a variety of sources and staying up to date on important issues, individuals can become more adept at identifying valuable information and filtering out distractions.In conclusion, developing effective information identification skills is crucial in the digital age. By honing skills such as critical thinking, media literacy, source evaluation, and staying informed, individuals can navigate the vast amount of information available to them and make informed decisions. As technology continues to advance and information becomes more readilyaccessible, it is more important than ever to possess the skills necessary to identify accurate and reliable information.。
论我对智能网络的认识作文

论我对智能网络的认识作文英文回答:Understanding intelligent networks is crucial intoday's digital age. Intelligent networks, in essence,refer to interconnected systems equipped with advanced technologies like artificial intelligence (AI), machine learning, and big data analytics to enhance efficiency, automation, and decision-making processes.One fundamental aspect of my understanding ofintelligent networks is their adaptability. These networks possess the ability to learn from data patterns, making them highly flexible and responsive to changing circumstances. For instance, consider a smarttransportation system that utilizes real-time data to optimize traffic flow based on current conditions, reducing congestion and travel time for commuters.Moreover, intelligent networks excel in predictivecapabilities. By analyzing vast amounts of data, they can forecast trends and anticipate future events with remarkable accuracy. Take, for example, predictive maintenance in manufacturing plants, where AI algorithms predict equipment failures before they occur, allowing for timely maintenance and preventing costly downtime.Another key feature is their self-optimization ability. Intelligent networks continuously refine their operations to achieve optimal performance levels. Think of a smart energy grid that automatically adjusts electricity distribution based on demand, maximizing efficiency and minimizing wastage.Furthermore, intelligent networks foster connectivity and collaboration across various devices and platforms. Through seamless integration, they facilitate data exchange and communication, enabling innovative solutions and services. Consider the Internet of Things (IoT) ecosystem, where interconnected devices interact to streamline daily tasks, from smart homes to wearable technology.In addition to their technical capabilities,intelligent networks also raise important ethical and societal considerations. Issues such as data privacy, security, and algorithmic bias require careful attention to ensure equitable and responsible deployment of these technologies.Overall, my understanding of intelligent networks encompasses their dynamic adaptability, predictive prowess, self-optimization capabilities, and role in fostering connectivity. These networks not only drive efficiency and innovation but also pose challenges that need to be addressed for their ethical and sustainable implementation.中文回答:对智能网络的理解在当今数字时代至关重要。
低压配电网智能型无功最优补偿控制器设计

何东升(1978—),男,助理工程师,硕士,从事电力电子及其控制的应用和低压电器产品的试验、认证。
低压配电网智能型无功最优补偿控制器设计何东升1,2, 林志力1, 苗本健1(1.国家中低压输配电设备质量监督检验中心,广东东莞 523325;2.广州电气安全检验所东莞基地,广东东莞 523325)摘 要:基于相关理论原理和控制算法,采用DSP 控制的硬件电路,设计了具有无功最优补偿功能的智能型控制器。
阐述了智能型最优无功补偿控制策略及系统的硬件结构和软件流程。
现场挂网运行表明,该控制器能有效克服传统补偿方法易产生的投切振荡、过补、欠补等问题,具有高性能、低成本、高可靠性和灵活配置等特点。
关键词:无功补偿;智能控制;低压配电网中图分类号:T M 761:T P 273 文献标识码:B 文章编号:100125531(2008)1920022204D esi gn of I n telli gen t O p ti m i za ti on React i ve Power C o m pen s a ti onCon tr oller i n L ow Volta ge D istr i bu ti n g Networ kHE D ongsh e ng1,2, L I N Zh ili 1, M I A O Ben jia n1(1.China Na tiona l Qua lity Supe r vision and Testing Cente r f or Mid 2Low Voltage Trans m issi on and D istribution Equipm ent,Dongguan 523325,China;2.Dongguan Base,Guangz hou Electrical Safety Testing I nstitute,Dongguan 523325,China) Abstra c t:T he i nte lligent op ti m iza ti on reac tive po wer compensa ti on contr o ller wa s de signed by making us e ofthe ha rd wa re circuit controlled byDSP based on correla tive theory and control algorith m.The control stra teg y of the intelligent opti m iza tion reactiv e po wer co mpens a tion,the hardwa re structure of the syste m and t he s oft wa re f l o wchart were ex pounded .The field running re s ult sh ows this contr o ller can effecti ve ly s olve the p r oble m s such as oscilla 2tion,over or under compensati on which easily occurred i n traditi ona lway of compensa ti on .This controlle r fea tures with go od perf o r mance,lo w cost,high re liability and feasibl e config urati on .Key word s:r ea ctive power com pen s a t i on;i n telli gen t con tr ol ;low volt a ge d istr ibuti n g ne twor k林志力(6—),男,教授级高级工程师,从事低压电器的技术研究与检测认证。
智能网络英文作文

智能网络英文作文英文:Intelligent networks refer to computer networks that can automatically adapt to changing conditions and provide efficient and effective communication services. These networks are designed to be self-managing, self-organizing, and self-healing, which means they can detect and correct faults and errors without human intervention.One of the key features of intelligent networks istheir ability to learn from experience and improve their performance over time. For example, a self-driving car can use artificial intelligence and machine learning algorithms to analyze data from sensors and cameras, and make decisions based on that data. As the car gains more experience on the road, it can become more accurate and efficient in its driving.Another example of intelligent networks is the Internetof Things (IoT), which refers to a network of physical devices, vehicles, home appliances, and other objects that are embedded with sensors, software, and connectivity. These devices can communicate with each other and with the internet, and can be controlled remotely using a smartphone or other device. For example, a smart thermostat can learn your daily routine and adjust the temperature in your home accordingly, saving energy and reducing your utility bills.Intelligent networks have many benefits, including increased efficiency, improved reliability, and reduced costs. They can also provide new opportunities for innovation and creativity, as developers and entrepreneurs find new ways to use the data and insights generated by these networks.Overall, intelligent networks are a key component of the digital revolution, and are likely to play an increasingly important role in our lives in the coming years.中文:智能网络是指能够自动适应变化条件并提供高效有效通信服务的计算机网络。
先进网络感知和特征管理

先进网络感知和特征管理Now,network is very common all over the field in human life. It is not only asimple media for communication but also roles a very important effect in thedevelopment of our human society. People pay more and more attention to informationand network then before, and with the development of mobilc communication devices,they have higher request for intellectualized and mobile network,so we need tointroduce the context-aware concept to satisfy the demands.Future 3G nctwork will provide services of context-aware which were producedby cooperating with contcxt information and context managcmcnt. It is very importantthat context-aware can improve system cfficiency and support network. We import theconcept of context-aware to a new network-Ambicnt network, which can make somenew applications and scrvices. I believe that this technology will be gradually used inour lives to make them convenient and comfortable in the future.Either Ambient network or context-awarc technology is a new topic for us.soexlensive research and applications have not becn devcloped. Thus,the author of thispaper realized their concepts,frameworks and system processing through studying.Also, it can be an introduction of this field for the rescarch to more and more peoplc,and it will be useful for thc rapid development of the context-aware technology inambient network.Based on the studying composing or corrclative literature by Raffaele Giaffreda,Matthias Baldauf,Schahram Dustdar and Forian Roscnberg etc,the author mainlymakes her own comprehensions and chicfs about context-aware technology in Ambientnetwork.The work l do as follows:1. Importing the concepts of Ambient network and context-aware and introducingcorrelative background knowledge mainly oncontext-aware.2.Analyzing contcxt-aware system and describing the basic context-aware technologyin Ambient network.3.Lucubrating context-aware frameworks and its key technology,and based on theframework, I construct a new simple context model.4. Putting forward new challenging for future scicntific rcsearch of context-aware.。
基于智能电网的智能用户端设计

基于智能电⽹的智能⽤户端设计第38卷第21期电⼒系统保护与控制V01.38No.211Q!!笙!!旦!旦£竺型!!兰羔!堡竺£!竺12翌垒翌垒兰211竺!塑2兰!:;Q!Q基于智能电⽹的智能⽤户端设计牟龙华,朱国锋,朱吉然(同济⼤学电⼦与信息⼯程学院,上海201804)摘要:旨在设计基于智能电⽹的智能⽤户端系统,主要包括智能电表、智能电器开关和户内控制系统三部分.根据不同需求,采⽤各异的微控制器作中央控制单元,加以⾼精度计量芯⽚作为基础平台,再配合⽆线通信.LCD显⽰等诸多外围电路实现对智能⽤户端的整体构建。
三者相互配合,使户内⽤电⽹络形成⼀个有机整体,不仅能精准计量电能,还可以实现各级双向通信和远程控制,⽤户能够根据实时电价并结合⾃⾝⽤电情况调整⽤电,从⽽更加稳定、⾼效地利⽤电能。
关键词:智能电⽹;智能⽤户端;智能电表;⾼级量测体系;⽆线通信DesignofintelligentterminalbasedonsmartgridMULong-hua,ZHUGuo-feng,ZHUJi-ran(CollegeofElectronicsandInformationEngineering,TongiiUniversity,Shanghai201804,China)Abstract:Thispaperaimstodesignintelligentterminalbasedonsmart鲥dwhichmainlyincludesintelligentmeter,intelligentapparatusswitchandindoorcontrolsystem.BasedOildifferentrequirement,itUSeSdifferentmicrocontrollersascentralcontrolunit,takeshigh-accuracymeteringchipaSbaSicplatform,andadoptsotherperipheralcircuitslikewirelesscommunicationandLCDdisplaytomaketheoverallconstruction.ItCallmaketheindoorpowersystemintoallorganicwholewhichCannotonlycomputeelectricenergyaccurately,butalsocanrealizeeachgradebi-directionalcommunicationandremotecontr01.UserscansetaflexibleplanforthemselvesbaSedontherealtimepowerpriceandtheirownneeds,whichCanmakeenergyconsumptionmorestableandefficient.Keywords:sma_rt鲥d;intelligentterminal;smartmeter;AMI;Wirelesscommunication中图分类号:TM76⽂献标识码:A⽂章编号:1674—3415(2010)21.0053.04▲0引⾔随着信息时代的来临,如何更⾼效地利⽤能源、节约能源,在全球范围内被给予了越⽶越多的关注,电⼒⾏业正⾯临着诸多新挑战。
AIS信息网络共享平台

0引言
随着全球航运事业的飞速发展以及海上数字交 通建设需求的日益突出,有关企业、科研单位和管理 部门开 展 基 于 自 动 识 别 系 统 ( Automatic Identification System,AIS) 的 研 究 和 应 用 越 来 越 普 遍 和 深
入. [1-4]由于建设一定规模的 AIS 信息采集系统需要 大量的人力、物力和财力,实时、可靠地共享已采集 的 AIS 信息,实现 AIS 研究和应用的充分协作的呼 声也越来越高. 在先前的研究中,已经成功开发基于 分布式网络的 AIS 信息采集系统,并提供一定的 AIS 数据共享服务. [5]然而由于该系统运行于互联
( 下转第 39 页)
第2 期
李 欣,等:基于人工势场法的自治水下机器人路径规划
39
3结论
针对传统人工势场的势场函数梯度变化过快、 容易导致对机器人运动路径的误判的缺点,本文提 出 1 种改进的势场函数用于水下机器人的路径规
参考文献[5]已对分布式 AIS 信息采集系统的 开发进行了阐述,因此,本文重点探讨 AIS 数据服务 器所负责的相关处理的实现问题.
行具体探讨.
2. 1 认证
认证是对请求数据服务的用户身份( 包括用户 的名称和密码) 进行鉴别,防止非法用户有意或无 意地进入系统,从而给系统的安全带来隐患. 因此, 认证是实现系统安全的基本手段之一,处于网络环 境或公共场合的系统都应具备安全认证的能力. [6-7] 数据服务器的认证和 Socket 网络通信密切结合:首 先,系统在指定的端口号创建监听 Socket,该 Socket 负责监听客户端的连接请求,一旦有客户端开始连 接,则执行监听 Socket 的 OnAccept 事件的重载函 数,在该函数中完成认证的全过程. 具体认证过程 如下:
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The Network based on intelligent control system Intelligent home network With the network technology and communication technology continues to evolve and requirements of people living continuously improve and achieve family intelligent remote control has become an inevitable trend. Ministry of Construction and Housing Industrialization Promotion Center proposed residential area to achieve the six intelligence requirements, including safety precautions implemented automated monitoring and management: on residential fires, toxic gas leak to implement automatic alarm; anti-theft alarm system should be installed such as infrared or microwave various types of alarm detector; system should be integrated with the computer security management system network; computer system burglar alarm system can be centrally managed and controlled. However, as wireless technology immature, operating expenses of higher malpractice, intelligent home controller and the external network of wireless communications technology as leading to a low degree of market acceptance of the important factors, the characteristics of GPRS system can be a good solution to the problem. GPRS network communication business communications company launched a data communication services, the GPRS network coverage area, unlimited transmission distance, communication cost is relatively low transfer rate faster. This article related to intelligent systems and GPRS technology family background, analysis of its basic characteristics and their basic functions to be achieved, and on this basis was proposed based on GPRS wireless home the overall intelligent control system solutions. At last, the core GPRS chip system software and hardware realization.Overall system architecture The popularity of network applications and the production of a variety of information appliances are made within the family visit on the Internet, no longer limited to a single PC, each family will be faced with how to transfer Internet data within the family and how the various appliances problems connecting, based on this, intelligent home networks come into being. Intelligent home network is the basic unit of information society. The future of the family, all kinds of appliances will form a home LAN and Internet access through the smart home controller. Intelligent home network market potential is considerable, several large manufacturers Intel, IBM, Microsoft and Sony are already involved in them.Intelligent home network that is in a home in a communications network, the various appliances connected together, to achieve all the intelligent home network appliances for remote access and control, and any request for information exchange, such as music, television or data. Intelligent home network architecture, including within the family network system, intelligent home controller and the intelligent home network and external Internet networks of data communications. Among them, the smart home smart home network controller is an integral part of the core to play the management, control and communications role with the external network. It is the management platform and home through the family life of the combination of the various subsystems of a system is to connect the family intelligence network inside and outside the physical interfaces, complete with external communication networks within the family, the data exchange between functions, but also for familiesequipment management and control.Smart home controller on the one hand the need for cabling to provide communication interface within the family, to collect information on household equipment, and processing, automatic control and regulation; other smart home controller as a home gateway, to provide for external network interfaces, connectivity within the family network and external Internet networks, so users can access the home network, internal network, to achieve monitoring and control. In addition, smart home controller should also be equipped with automatic alarm and other functions, that is, when found, such as alarm signal: it was a malicious intrusion, high temperature, etc., the controller can be dealt with immediately send alarm signals to the user.Shown in Figure , intelligent home control for the core of the system. ARM embedded system design can be used to automatically run, processing of data, management and control through the RS485 bus, the control terminal. And the controller through the GPRS module to achieve the family system and the external network communications, so users can SMS and the Internet, etc. to achieve the family system, remote control, while the controller through the keyboard and display for the user interface, easy users to achieve local control. Control terminal for the SCM control system composed of a number of small control various home appliances, and by controlling the bus, the control system composed of these small networks, connected to the smart home controller, by the smart home controller.Specific smart home controller features include: Household equipment data collection: Collection of household equipment, including indoor temperature, lighting appliances, security doors and other equipment of the state data, processed by the controller feedback to the user.Local control: the user through the controller keyboard and display, for home monitoring equipment.Remote Control: Remote users can send text messages or via the Internet on the family system to control and query.Automatic alarm: when the controller detects high temperature, such as illegal intrusion or alarm signal, triggering indoor alarm in time and send alert messages by means of promptly notify the user.Temperature check: the user can check the room temperature by the controller. Security door password settings: local or remote user can modify the password security door, enter the correct password at the door before they can open the door.Infrared Appliance Control: receiving user commands via infrared transmitter control TV, air conditioning and other infrared controlled appliances.Other lamps and so on-off control: receiving user commands control the amount of lighting and other switching equipment.Smart home controller through GPRS module, to achieve the family system and the external network communication as a central part of the smart home system to solve the bottleneck before the key technology. GPRS (General Packet Radio Service) is short, the existing GSM system is to add a new GGSN (Gateway Support Node) and SGSN (Service Support Node) node developed a new packet data bearer services. GPRS with the existing GSM system the most fundamental difference is, GPRS is a packet switching system, particularly suitable for intermittent, sudden or frequent, small amounts of data transfer, but also to the occasional large data transfers. The main advantage of GPRS network transmission are: always online, according to traffic accounting, quick log on, high-speed transmission, within a restricted range (transmission distance, terrain, weather, etc.), data transmission reliability.The booming Internet has broadened the traditional concept of smart consumer appliances. Originally, smart consumer appliances are just stand-alone devices that have the control program running by themselves. Due to hardware limitations, these appliances can only implement some simple control algorithms that can at most achieve local optimal control effects. On the other hand, Hardware implementation of control systems will be one of important issues in the development of smart consumer electronics. For simple applications, such as smart toys, microwaves, and washing machines, simple control algorithms can be used and implemented on a single chip that may cost very little. However, for more complex problems, such as smart heating, ventilation, and air conditioning (WAC) for individual houses or office buildings, advanced control methods must be utilized and implemented with sophisticated hardware that would cost significantly more than the conventional controllers. For example, an intelligent PLC (programmable logic controller) for energy efficient and waving temperature control may cost several times more than a household air conditioning unit. This might be justified for some industrial applications but obviously not acceptable for average individual customers. Therefore, to make smart consumer electronics marketable for this type of applications, innovative approach for implementation must be established to reduce the cost to a level acceptable to average customers.In the following sections, the architecture of intelligent control systems for consumer appliances via Internet is briefly presented, and then a network-basednemo-fuzzy implementation is described.Architecture of Networked AppliancesFigure shows two versions of architecture for networked appliances. Both architectures can be seen composed of two different types of functional devices: home-based appliances, and remote controllers. The remote controllers in both architectures play the same role as: a) running advanced control algorithms and issue control commands; b) monitoring the running status of appliances.The difference between these two architectures is on the home side. In architecture (I), home appliances must first connect to Home Control System, which functions in part as a common gateway to the Internet for all appliances. This architecture is suitable for current implementation because networked appliance is still in its early stage of development; they are still lack of standard software and hardware interfaces to the Internet. Besides, the data exchange between home appliances and remote controller at current stage are limited, therefore the utility lines and phone lines are enough for transmitting simple control signals. Architecture (II) is the choice for future development while all home appliances have direct access to the Internet. In this case, large amounts of real-time data from home appliances can be fed back to remote controller as the control input through Internet, and control output, which could vary from simple control parameters or set values to updated algorithms, can also be downloaded to the corresponding appliances.The architectures proposed here have their origins in Distributed Control Systems (DCS), which is widely used in industrial automation and proved to be mature and reliable. From topology point of view, the networked appliances systems and DCS are similar, and those functional devices in networked appliances systems can also find their counterpart in DCS. But a significant difference lies in the fact that DCS uses proprietary communication protocols in a local area network for data exchange, thus it is not an open architecture that makes devices from different vendors very difficult, if it’s not impossible to be interconnected, while networked appliances systems rely on the Internet that uses TCP/IP, the de facto protocol for network communication, so any applance that is TCP/IP compatible can be easily interconnected and communicate with other appliances that are already on the net.To the home environment, and a network-based neuro-fuzzy implementation of this architecture. The basic idea of this implementation is to use simple and reliable in-system programmable devices for on-line field control execution with fuzzy logic, and communication networks and computers for off-line learning and optimization through neural networks. An ongoing research project in consumer electronics is to implement this architecture to the network- based intelligent control of smart heating and air-conditioning systems, which could lead to significant saving in energy and reduction in pollution.。