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Smart Electromechanical Systems - Recognition, Identification, Modeling, Measurement Systems, Sensors (Hardcover, 1st ed. 2022)
Loot Price: R4,261
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Smart Electromechanical Systems - Recognition, Identification, Modeling, Measurement Systems, Sensors (Hardcover, 1st ed. 2022)
Series: Studies in Systems, Decision and Control, 419
Expected to ship within 10 - 15 working days
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This book presents the latest achievements in the field of theory
and practice of information processing in the CNS SEMS. Recently,
the task of integrating computer technologies, transmitting and
storing information, monitoring and controlling objects of the
physical world has become urgent. This capability is provided by
Smart Electromechanical Systems (SEMS) used in Cyber-Physical
Systems (CPhS). The main tasks in the field of theory and practice
of SEMS are to ensure the efficiency, reliability and safety of
functioning in real time. The task of obtaining reliable
information about the selection environment, as well as object
recognition and identification, is especially important when
several SEMS interact in a group. Since in this case, it is
necessary to ensure the safety and speed of the planned behavior of
all members of the group. The purpose of the publication is to
familiarize with the latest achievements of scientists of the
Russian Academy of Sciences and leading universities of Russia in
the field of theory and practice of information processing in the
CNS of EMS, as well as to familiarize with the development of
methods and algorithms for recognition, identification and modeling
based on the principles of bionics, adaptivity, intelligence and
parallelism in information processing and computing. Topics of
primary interest include, but are not limited to the following:
Methods and systems of recognition and identification; Mathematical
and computer modeling; Measurement systems to identify the
simulation of the selection environment; Sensors and auxiliary SEMS
systems. This book is intended for students, scientists and
engineers specializing in smart electromechanical systems and
robotics.
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