This book introduces students to the theory and practice of control systems engineer-
ing. The text emphasizes the practical application of the subject to the analysis and
design of feedback systems.
The study of control systems engineering is essential for students pursuing
degrees in electrical, mechanical, aerospace, biomedical, or chemical engineering.
Control systems are found in a broad range of applications within these disciplines,
from aircraft and spacecraft to robots and process control systems.
Pattern recognition has its origins in engineering, whereas machine learning grew
out of computer science. However, these activities can be viewed as two facets of
the same field, and together they have undergone substantial development over the
past ten years. In particular, Bayesian methods have grown from a specialist niche to
become mainstream, while graphical models have emerged as a general framework
for describing and applying probabilistic models. Also, the practical applicability of
Bayesian methods has been greatly enhanced through the development of a range of
approximate inference algorithms such as variational Bayes and expectation propa-
gation. Similarly, new models based on kernels have had significant impact on both
algorithms and applications.
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.
EN 300220-1V2.4.1 Electromagnetic compatibility and Radio spectrum Matters (ERM);Short range Devices (SRD);Radio equipment to be used in the 25 MHz to 1 000 MHz frequency range with power levels ranging up to 500 mW; Part 1: Technical characteristics and test methods
FFeeaattuurreess ? Input voltage range: 2.2 to 6V ? Programmable LED Current ? Drives LEDs Up to 27V ? Switching Frequency：up to 800KHz ? Wide dimming frequency range: 20KHz~ 360 KHz ? Programmable Overvoltage Protection ? Tiny SOP8/PP Package
Wide 2.2V to 6V Input Voltage range
? 0.20V FB adjustable LED drive current
? Directly drive 9 Series 1W LED at
VIN>=6V
? Fixed 800KHz Switching Frequency
? Max. 3A Switching Current Capability
? Up to 92% efficiency
? Excellent line and load regulation
? EN PIN TTL shutdown capability
? Internal Optimize Power MOSFET
2.7V to 5.5V input voltage range? Efficiency up to 96%
? 24V Boost converter with 12A switch
current Limit? 600KHz fixed Switching Frequency? Integrated soft-start? Thermal Shutdown? Under voltage Lockout? Support external LDO auxiliary power
supply? 8-Pin SOP-PP PackageAPPLICATIONSPortable Audio Amplifier Power SupplyPower BankQC 2.0/Type CWireless ChargerPOS Printer Power SupplySmall Motor Power Supply
USB PD3.1正式發(fā)布,上述文檔是此標準的詳細內(nèi)容5月25日，USB-IF協(xié)會推出了USB Type-C線纜和接口標準v2.1版本，其中更新了有關(guān)供電能力的章節(jié)。USB PD3.1規(guī)范將原來的USB PD3.0內(nèi)容歸到標準功率范圍（Standard Power range，簡稱SPR）里面，最大功率保持100W不變；同時增加了擴展功率范圍（Extended Power range，簡稱EPR），最大功率由100W擴展到240W。
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
The PC1099N from Pixelplus is a CMOS Image Sensor with Mega Pixels 0.3 MP, VGA, Supply Voltage Analog: 3.3 V, HVDD: 3.3 V, CVDD: 3.3 V, Frame Rate 50 to 60 fps, Dynamic range 63.2 dB, SNR 45.3 dB. More details for PC1099N can be seen below.
