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.
The basic topic of this book is solving problems from system and control theory using
convex optimization. We show that a wide variety of problems arising in system
and control theory can be reduced to a handful of standard convex and quasiconvex
optimization problems that involve matrix inequalities. For a few special cases there
are “analytic solutions” to these problems, but our Main point is that they can be
solved numerically in all cases. These standard problems can be solved in polynomial-
time (by, e.g., the ellipsoid algorithm of Shor, Nemirovskii, and Yudin), and so are
tractable, at least in a theoretical sense. Recently developed interior-point methods
for these standard problems have been found to be extremely efficient in practice.
Therefore, we consider the original problems from system and control theory as solved.
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.
The idea of writing this book arose from the need to investigate the Main principles of
modern power electronic control strategies, using fuzzy logic and neural networks, for
research and teaching. Primarily, the book aims to be a quick learning guide for
postgraduate/undergraduate students or design engineers interested in learning the
fundamentals of modern control of drives and power systems in conjunction with the
powerful design methodology based on VHDL.
Human Factors and Systems Interaction aims to address the Main issues of concern
within systems interface with a particular emphasis on the system lifecycle
development and implementation of interfaces and the general implications of
virtual, augmented and mixed reality with respect to human and technology
interaction. Human Factors and Systems Interaction is, in the first instance, affected
by the forces shaping the nature offuture computing and systems development
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.
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windings of the electric motor for NO.2 deck cargo winch found low insulation.
Windings re-winded,painted and baked dry.
(2) NO.1 Main
air compressor failed to build up pressure.The machine disassembled, cleaned
and inspected. The discharge valve plate found broken. The valve palte renewed
and running trials tested after being reassembled.
