Smart Electromechanical Systems: Recognition, Identification, Modeling, Measurement Systems, Sensors

The book discusses the latest achievements in the field of information processing in the CNS of EMS, including methods and systems of recognition and identification, mathematical and computer modeling, measurement systems, and sensors. It is intended for students, scientists, and engineers specializing in smart electromechanical systems and robotics.

Format: Hardback
Length: 275 pages
Publication date: 13 April 2022
Publisher: Springer Nature Switzerland AG

The integration of computer technologies, transmission, and storage of information, as well as monitoring and controlling objects in the physical world, has become increasingly crucial. Smart Electromechanical Systems (SEMS) play a vital role in Cyber-Physical Systems (CPhS) by providing this capability. The primary objectives of SEMS theory and practice are to ensure efficient, reliable, and safe real-time functioning. When multiple SEMS interact in a group, obtaining reliable information about the selection environment, object recognition, and identification becomes essential. Ensuring the safety and speed of planned behavior for all group members is crucial.

The purpose of this publication is to provide an overview of the latest advancements in the field of information processing in the Central Nervous System (CNS) of EMS. It also aims to familiarize readers with the development of methods and algorithms for recognition, identification, and modeling based on principles of bionics, adaptability, intelligence, and parallelism in information processing and computing.

The book covers various topics of primary interest, including but not limited to:

Methods and systems of recognition and identification: This includes techniques such as pattern recognition, image processing, and artificial intelligence, as well as their applications in SEMS.
Mathematical and computer modeling: This involves developing mathematical models and computational algorithms to describe and simulate the behavior of SEMS.
Measurement systems to identify the simulation of the selection environment: This involves developing sensors and auxiliary SEMS systems to accurately measure and simulate the environmental conditions in which SEMS operate.
Sensors and auxiliary SEMS systems: This encompasses the design and development of sensors and auxiliary systems that enhance the functionality and performance of SEMS.

The book is designed for students, scientists, and engineers specializing in smart electromechanical systems and robotics. It provides a comprehensive and up-to-date overview of the current state-of-the-art in this field, making it an invaluable resource for researchers, practitioners, and students alike.

Weight: 600g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030970031
Edition number: 1st ed. 2022