The use of renewable energy systems, such as wind power, hydropower, tidal power, solar power, geothermal power and biomass burn is growing. Research in electric power generation from renewable sources is continuously expanding and stands for an area of high technological and financial importance. The implemen- tation of new technologies for the functioning and management of renewable energy systems will help to further develop the renewable energy sector.
標(biāo)簽： Intelligent Renewable Systems Energy
上傳時間： 2020-06-07
上傳用戶：shancjb
A modern power grid needs to become smarter in order to provide an affordable, reliable, and sustainable supply of electricity. For these reasons, a smart grid is necessary to manage and control the increasingly complex future grid. Certain smart grid elements including renewable energy, storage, microgrid, consumer choice, and smart appliances like electric vehicles increase uncertainty in both supply and demand of electric power.
標(biāo)簽： Intelligent Management Microgrid
上傳時間： 2020-06-07
上傳用戶：shancjb
This book is the result of works dedicated to specific applications of metaheuristics in smart electrical grids. From electric transmission, distribution networks to electric microgrids, the notion of intelligence refers to the ability to propose acceptable solutions in an increasingly more restrictive environment. Most often, it refers to decision-making assisting tools designed to support all human action.
標(biāo)簽： Metaheuristics Intelligent Electrical Networks for
上傳時間： 2020-06-07
上傳用戶：shancjb
Radio frequency identification (RFID) technology is witnessing a recent explosion of development in both industry and academia. A number of applications include supply chain management, electronic payments, RFID passports, environmental monitoring and control, office access control, Intelligent labels, target detection and tracking, port management, food production control, animal identification, and so on. RFID is also an indispensable foundation to realize the pervasive computing paradigm—“Internet of things.” It is strongly believed that many more scenarios will be identified when the principles of RFID are thoroughly understood, cheap components available, and when RFID security is guaranteed.
標(biāo)簽： Architectures NETWORKS SENSOR RFID AND
上傳時間： 2020-06-08
上傳用戶：shancjb
This book describes a unifying framework to networked teleoperation systems cutting across multiple research fields including networked control system for linear and nonlinear forms, bilateral teleoperation, trilateral teleoperation, multilateral teleoperation, cooperative teleoperation, and some teleoperation application examples. Networked control has been deeply studied at the intersection of systems & control and robotics for a long time, and many scholarly books on the topic have been already published. Nevertheless, the approach remains active even in several new research fields, such as bilateral teleoperation, single master and multiple slaves, trilateral teleoperation, and multilateral teleoperation
標(biāo)簽： Teleoperation Intelligent Networked Control
上傳時間： 2020-06-10
上傳用戶：shancjb
The main aim of this book is to present a unified, systematic description of basic and advanced problems, methods and algorithms of the modern con- trol theory considered as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control theory mainly oriented to the needs of automatic control of technical devices and technological proc- esses. Taking into account a variety of new applications, the book presents a compact and uniform description containing traditional analysis and op- timization problems for control systems as well as control problems with non-probabilistic models of uncertainty, problems of learning, Intelligent, knowledge-based and operation systems – important for applications in the control of manufacturing processes, in the project management and in the control of computer systems.
標(biāo)簽： Modern_Control_Theory
上傳時間： 2020-06-10
上傳用戶：shancjb
Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve learning, at some level, if for no other reason than it’s hard to call a system Intelligent if it cannot learn. Machine learning is also fascinating in its own right for the philo- sophical questions it raises about what it means to learn and succeed at tasks.
標(biāo)簽： Learning Machine Course in
上傳時間： 2020-06-10
上傳用戶：shancjb
Artificial Intelligence (AI) has undoubtedly been one of the most important buz- zwords over the past years. The goal in AI is to design algorithms that transform com- puters into “Intelligent” agents. By intelligence here we do not necessarily mean an extraordinary level of smartness shown by superhuman; it rather often involves very basic problems that humans solve very frequently in their day-to-day life. This can be as simple as recognizing faces in an image, driving a car, playing a board game, or reading (and understanding) an article in a newspaper. The Intelligent behaviour ex- hibited by humans when “reading” is one of the main goals for a subfield of AI called Natural Language Processing (NLP). Natural language 1 is one of the most complex tools used by humans for a wide range of reasons, for instance to communicate with others, to express thoughts, feelings and ideas, to ask questions, or to give instruc- tions. Therefore, it is crucial for computers to possess the ability to use the same tool in order to effectively interact with humans.
標(biāo)簽： Embeddings Processing Language Natural in
上傳時間： 2020-06-10
上傳用戶：shancjb
General Design Specification:1. AC Input Range 180-264Vac, Isolated ac-dc offline, 12LEDS,Output 700mA2. Intelligent wall dimmer detections(Leading-edge dimmer , Trailing-edgedimmer , No-dimmer)3. Multiple dimming control scheme4. Wide dimming range from 1% up to 100%5. No visible flicker6. Resonant control to achieve high efficiency7. High Power Factor, 0.9 without dimmer8. Temperature degrade control to adjust the LED9. Primary-only Sensing eliminates opto-isolator feedback and simplifies design
標(biāo)簽： iw3617
上傳時間： 2021-12-03
上傳用戶：canderile
研究一種智能掃地機(jī)器人。從硬件系統(tǒng)控制模塊設(shè)計到主要技術(shù)調(diào)試進(jìn)行了較詳細(xì)的闡述。以STM32單片機(jī)為控制核心與電機(jī)驅(qū)動、紅外線路徑識別模塊等相互協(xié)調(diào)應(yīng)用。進(jìn)行電路搭建和程序編寫。實現(xiàn)了智能掃地機(jī)器人紅外線避障和自動掃地功能,其清掃面積能達(dá)到約70%,清掃率約60%,很大程度受到自身機(jī)械機(jī)構(gòu)的限制,后期將對小車的機(jī)械結(jié)構(gòu)進(jìn)行完善。This paper studies an Intelligent sweeping robot.From the hardware system control module design to the main technical debugging are described in detail.STM32 MCU is used as the control core to coordinate with motor drive and infrared path recognition module.Conduct circuit building and programming.The functions of infrared obstacle avoidance and automatic sweeping of Intelligent sweeping robot are realized.Its cleaning area can reach about 70%and the cleaning rate is about 60%.Because it is limited by its own mechanical mechanism to a great extent,the mechanical structure of the car will be improved in the later stage.
標(biāo)簽： 掃地機(jī)器人
上傳時間： 2022-03-26
上傳用戶：
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