The author’s group has developed various chipless RFID tags and reader architectures
at 2.45, 4–8, 24, and 60 GHz. These results were published extensively in the form of
books, book chapters, refereed conference and journal articles, and finally, as patent
applications. However, there is still room for improvement of chipless RFID sys-
tems. In this book, we proposed advanced techniques of chipless RFID systems that
supersede their predecessors in signal processing, tag design, and reader architecture.
The present work, Advanced Process Engineering Control, is intended to be the
continuation of the authors? Basic Process Engineering Control published by
DeGruyter in 2014. It presents the main and conventional type control loops in process
industries. Titles containing the concept of process engineering were deliberately
chosen to suggest the inclusion, within the same approach, of processes other than
the traditional ones. These come from outside the traditional fields of chemistry and
petrochemistry: the sphere of pharmaceuticals, wastewater management, water puri-
fication, water reserve management, construction material industry, food processing,
household or automotive industries.
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
Recent years have seen a rapid development of neural network control tech-
niques and their successful applications. Numerous simulation studies and
actual industrial implementations show that artificial neural network is a good
candidate for function approximation and control system design in solving the
control problems of complex nonlinear systems in the presence of different kinds
of uncertainties. Many control approaches/methods, reporting inventions and
control applications within the fields of adaptive control, neural control and
fuzzy systems, have been published in various books, journals and conference
proceedings.
n recent years, there have been many books published on power system optimization.
Most of these books do not cover applications of artifi cial intelligence based methods.
Moreover, with the recent increase of artifi cial intelligence applications in various fi elds,
it is becoming a new trend in solving optimization problems in engineering in general
due to its advantages of being simple and effi cient in tackling complex problems. For this
reason, the application of artifi cial intelligence in power systems has attracted the interest
of many researchers around the world during the last two decades. This book is a result
of our effort to provide information on the latest applications of artifi cial intelligence
to optimization problems in power systems before and after deregulation.
This manuscript is a partial draft of a book to be published in early 1994 by AddisonWesley (ISBN 0-201-63337-X). Addison-Wesley has given me permission to make
drafts of the book available to the Tcl community to help meet the need for introductory documentation on Tcl and Tk until the book becomes available. Please observe
the restrictions set forth in the copyright notice above: you’re welcome to make a
copy for yourself or a friend but any sort of large-scale reproduction or reproduction
for profit requires advance permission from Addison-Wesley
CPCI_E標(biāo)準(zhǔn)規(guī)范 CompactPCI? Express SpecificationThe documents in this section may be useful for reference when reading the specification. The revision listed for each document is the latest revision at the time this specification was published. Newer revisions of these documents may exist, so refer to the newest revision. Many of these documents are referenced throughout this specification. Refer to the newest revision of the document unless a specific revision is referenced. ? PCI Express Base Specification 3.0. PCI Special Interest Group (PCI-SIG). ? PCI Express Card Electromechanical (CEM) Specification 3.0. PCI Special Interest Group (PCI-SIG). ? PCI Express to PCI/PCI-X Bridge Specification, Rev. 1.0. PCI Special Interest Group (PCI-SIG). ? PCI Express Jitter White Paper. PCI Special Interest Group (PCI-SIG). ? PCIe Rj Dj BER White Paper. PCI Special Interest Group (PCI-SIG). ? PHY Electrical Test Specification for PCI Express Architecture. PCI Special Interest Group (PCI SIG). ? System Management Bus (SMBus) Specification, Version 2.0. Smart Battery System Implementer’
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immunity test.About the IEC
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