Advanced Control Systems: Theory and Applications provides an
overview of advanced research lines in control systems as well as
in design, development and implementation methodologies for
perspective control systems and their components in different areas
of industrial and special applications. It consists of extended
versions of the selected papers presented at the XXV International
Conference on Automatic Control "Automatics 2018" (September 18-19,
2018, Lviv, Ukraine) which is the main Ukrainian Control Conference
organized by Ukrainian Association on Automatic Control (National
member organization of IFAC) and Lviv National University "Lvivska
Politechnica". More than 100 papers were presented at the
conference with topics including: mathematical problems of control,
optimization and game theory; control and identification under
uncertainty; automated control of technical, technological and
biotechnical objects; controlling the aerospace craft, marine
vessels and other moving objects; intelligent control and
information processing; mechatronics and robotics; information
measuring technologies in automation; automation and IT training of
personnel; the Internet of things and the latest technologies. The
book is divided into two main parts, the first concerning theory (7
chapters) and the second concerning applications (7 chapters) of
advanced control systems. The first part "Advances in Theoretical
Research on Automatic Control" consists of theoretical research
results which deal with descriptor control impulsive delay systems,
motion control in condition of conflict, inverse dynamic models,
invariant relations in optimal control, robust adaptive control,
bio-inspired algorithms, optimization of fuzzy control systems, and
extremal routing problem with constraints and complicated cost
functions,. The second part "Advances in Control Systems
Applications" is based on the chapters which consider different
aspects of practical implementation of advanced control systems, in
particular, special cases in determining the spacecraft position
and attitude using computer vision system, the spacecraft
orientation by information from a system of stellar sensors,
control synthesis of rotational and spatial spacecraft motion at
approaching stage of docking, intelligent algorithms for the
automation of complex biotechnical objects, an automatic control
system for the slow pyrolysis of organic substances with variable
composition, simulation complex of hierarchical systems based on
the foresight and cognitive modelling, and advanced identification
of impulse processes in cognitive maps. The chapters have been
structured to provide an easy-to-follow introduction to the topics
that are addressed, including the most relevant references, so that
anyone interested in this field can get started in the area. This
book may be useful for researchers and students who are interesting
in advanced control systems.
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