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full-state-feedback

  • Switching+Systems+by+Invariance+Analysis1

    Switched systems are embedded devices widespread in industrial applications such as power electronics and automotive control. They consist of continuous-time dynamical subsystems and a rule that controls the switching between them. Under a suitable control rule, the system can improve its steady-state performance and meet essential properties, such as safety and stability, in desirable operating zones.

    標簽: Invariance Switching Analysis1 Systems by

    上傳時間: 2020-06-07

    上傳用戶:shancjb

  • Radio Frequency Identification and Sensors

    There is an unprecedented enthusiasm for radio frequency identification (RFID) technologies today. RFID is based on the exchange of information carried by electromagnetic waves between a label, or tag, and a reader. This technology is currently in full economic expansion, which has manifested itself in widely backed research activities, some of which will be examined in this book.

    標簽: Identification Frequency Sensors Radio and

    上傳時間: 2020-06-08

    上傳用戶:shancjb

  • RFID-WSN+Integrated+Architecture

    Radio frequency identification (RFID) and Wireless sensor networks (WSN) are the two key wireless technologies that have diversified applications in the present and the upcoming systems in this area. RFID is a wireless automated recognition technology which is primarily used to recognize objects or to follow their posi- tion without providing any sign about the physical form of the substance. On the other hand, WSN not only offers information about the state of the substance and environment but also enables multi-hop wireless communications.

    標簽: Architecture Integrated RFID-WSN

    上傳時間: 2020-06-08

    上傳用戶:shancjb

  • The RF in RFID

    To a quantum mechanic the whole universe is one godawful big interacting wavefunction ? but to the rest of us, it’s a world full of separate and distinguishable objects that hurt us when we kick them. At a few months of age, human children recognize objects, expect them to be permanent and move continuously, and display surprise when they aren’t or don’t. We associate visual, tactile, and in some cases audible and olfactory sensations with identifiable physical things. We’re hardwired to understand our environment as being composed of separable things with specific properties and locations. We understand the world in terms of what was where when.

    標簽: RFID The RF in

    上傳時間: 2020-06-08

    上傳用戶:shancjb

  • Control_Systems_Engineering

    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.

    標簽: Control Systems Engineering

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Industrial+Control+Systems

    This book is either ambitious, brave, or reckless approaching a topic as rapidly evolving as industrial control system (ICS) security. From the advent of ICS-targeted malicious software such as Stuxnet to the advanced persistent threats posed by organized crime and state-sponsored entities, ICS is in the crosshairs and practices and controls considered safe today may be obsolete tomorrow. Possibly more so than in more traditional IT security, because of the differences inherent in ICS.

    標簽: Industrial Control Systems

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Neural Systems For Control

    If you are acquainted with neural networks, automatic control problems are good industrial applications and have a dynamic or evolutionary nature lacking in static pattern-recognition; control ideas are also prevalent in the study of the natural neural networks found in animals and human beings. If you are interested in the practice and theory of control, artificial neu- ral networks offer a way to synthesize nonlinear controllers, filters, state observers and system identifiers using a parallel method of computation.

    標簽: Control Systems Neural For

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Observers in Control Systems

    Control systems are used to regulate an enormous variety of machines, products, and processes. They control quantities such as motion, temperature, heat flow, fluid flow, fluid pressure, tension, voltage, and current. Most concepts in control theory are based on having sensors to measure the quantity under control. In fact, control theory is often taught assuming the availability of near-perfect feedback signals. Unfortunately, such an assumption is often invalid. Physical sensors have shortcomings that can degrade a control system.

    標簽: Observers Control Systems in

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • PID Controllers for Time-Delay Systems

    In this chapter we give a quick overview of control theory, explaining why integral feedback control works, describing PID controllers, and summariz- ing some of the currently available techniques for PID controller design. This background will serve to motivate our results on PID control, pre- sented in the subsequent chapters.

    標簽: Controllers Time-Delay Systems PID for

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Embedded_Deep_Learning_-_Algorithms

    Although state of the art in many typical machine learning tasks, deep learning algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount of required computations and huge model sizes. Because of this, deep learning applications on battery-constrained wearables have only been possible through wireless connections with a resourceful cloud. This setup has several drawbacks. First, there are privacy concerns. Cloud computing requires users to share their raw data—images, video, locations, speech—with a remote system. Most users are not willing to do this. Second, the cloud-setup requires users to be connected all the time, which is unfeasible given current cellular coverage. Furthermore, real-time applications require low latency connections, which cannot be guaranteed using the current communication infrastructure. Finally, wireless connections are very inefficient—requiringtoo much energyper transferredbit for real-time data transfer on energy-constrained platforms.

    標簽: Embedded_Deep_Learning Algorithms

    上傳時間: 2020-06-10

    上傳用戶:shancjb

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