Smart Electromechanical Systems: Recognition, Identification, Modeling, Measurement Systems, Sensors: Studies in Systems, Decision and Control, cartea 419
Editat de Andrey E. Gorodetskiy, Irina L. Tarasovaen Limba Engleză Hardback – 13 apr 2022
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.
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Specificații
ISBN-13: 9783030970031
ISBN-10: 3030970035
Pagini: 275
Ilustrații: IX, 275 p. 122 illus., 82 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.58 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control
Locul publicării:Cham, Switzerland
ISBN-10: 3030970035
Pagini: 275
Ilustrații: IX, 275 p. 122 illus., 82 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.58 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control
Locul publicării:Cham, Switzerland
Cuprins
Identification of SEMS frequency characteristics using basic functions.- Analysis of Relationships between Problems of Finding “Interesting” Consequences and Constraints Satisfaction for SEMS Knowledge Bases in the Framework of N-tuple Algebra.- Extended Object Detection: flexible object description system for detection in robotic tasks.- Analysis of energy and noise components of the automatic optoelectronic drone detection system.- Self-Moving Parallel Speleological Robot with Spatial Tactile System of Recognition Contact Surface.- Computer modeling of systems of Logical-Probabilistic Classification of objects in the environment of choice.- Modeling of systems of Logical-Linguistic Classification of images.- Assessment of UAV Intelligence Based on the Results of Computer Modeling.- Assessment of group intelligence SEMS.
Textul de pe ultima copertă
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:
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.
Caracteristici
Presents latest achievements in the field of theory and practice of information processing in the CNS SEMS Provides current development of methods and algorithms for recognition, identification and modeling Shows results on the principles of bionics, adaptivity, intelligence and parallelism in information processing/computing
Notă biografică
Andrey Emelianovich Gorodetskiy is the Head of the laboratory of “Intelligent Electromechanical systems” of Institute for Problems in Mechanical Engineering of the Russian Academy of Sciences, Doctor of Sciences (Engineering Sciences), Professor, Honored Worker of science of the Russian Federation, Academician of the Russian Academy of Natural Sciences, Academician of the Metrological Academy of Sciences, and Candidate of Engineering Sciences (St. Petersburg Institute of Electromechanics, 1971). He holds Doctor of Sciences (Engineering Sciences) – awarded in 1993 by St. Petersburg. Institute of Accurate Mechanics and Optics. His research interests are computational methods of optimal control, mathematical methods of modeling and information processing, simulation and biomechanics. Irina Leonidovna Tarasova is the Senior Researcher of the laboratory of “Intelligent Electromechanical systems” of Institute for Problems in Mechanical Engineering of the Russian Academyof Sciences, Ph.D., Associate Professor of the Higher School of Cyber Physical Systems and Control of Peter the Great St. Petersburg Polytechnic University, and corresponding member of the Meteorological Academy of Sciences. In 1978, she graduated from Leningrad Polytechnic Institute M. I. Kalinina, specialty “Automated systems of control.” In 1997, she defended her thesis for the degree of candidate of technical sciences. She is the author of 90 scientific papers and 5 patents for inventions. Her research interests are computational methods of optimal control, mathematical methods of modeling and information processing, simulation and biomechanics.