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Smart Electromechanical Systems: Behavioral Decision Making de Andrey E. Gorodetskiy

Smart Electromechanical Systems: Behavioral Decision Making: Studies in Systems, Decision and Control, cartea 352

Editat de Andrey E. Gorodetskiy, Irina L. Tarasova
en Limba Engleză Paperback – 3 apr 2022
This book presents the latest achievements of Russian scientists in the field of theory and practice of decision-making in SEMS, taking into account the information received from the sensors of its central nervous system (CNS). Recently, in the field of theory and practice of intelligent robotics systems management, the solution to the problem of SEMS type urgent task of making decisions about their expedient behavior is based on the integration of the processes of obtaining, processing and storing information, computing, control and monitoring. This enables the efficiency, reliability and safety of operation of SEMS in real time.
 
Decision-making methods are described, both in the autonomous behavior of SEMS and in their group interaction, based on the principles of bionics, adaptability, intelligence and parallelism in information processing and computation.
 
This book is intended for students, scientists and engineers specializing in the field of smart electromechanical systems and robotics.

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Specificații

ISBN-13: 9783030681746
ISBN-10: 3030681742
Ilustrații: IX, 240 p. 79 illus., 40 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.36 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control

Locul publicării:Cham, Switzerland

Cuprins

Logical and mathematical method of making behavioral decisions.- Patterns in intelligent control systems for robotic systems.- Using binary relationships in decision making.- Decision-Making by the Autonomous Symbiotic Self-Relocating Massage Robot "Triangel" based on SEMS after the fall of Patient on Surface.- Decision-Making by the Autonomous Symbiotic Self-Relocating Massage Robot "Octahedral Dodekapod" based on SEMS during the upper or lower Limb Massage.- Problems with secure control of SEMS group.- Synthesis of optimal program control for synchronizing the movements of a group of SEMS modules.- Task Scheduling within Robots’ Collectives of Arbitrary Structures.- Meta-heuristic algorithm for decentralized control of a robots group to search for the maximum of an unknown scalar physical field.- Position control of UGV group for COVID (virus SARS-CoV-2COVID) localization and primary treatment within indoor environment.- Using diagrams influence in group control SEMS.- Models for Decision Making Support Systems in Robotics.- Coalition game model of fanet grouping control based on the method of local "threats and counter-threats" and swarm-leader model.- Robotic wheelchair control system for multimodal interfaces based on a semiotic model of the world.- Classification of images in decision making in the Central nervous system of SEMS.- Image classification system in the SEMS selection environment.- Principles of forming the language of sensation for decision  making in the Central nervous system of SEMS.- Generation of control commands in the group SEMS with multi-channel optic-electronic sensors.- Increasing the reliability of decision making by improving the characteristics of optoelectronic channels ensuring the separation of complex shape fruit.

Textul de pe ultima copertă

This book presents the latest achievements of Russian scientists in the field of theory and practice of decision-making in SEMS, taking into account the information received from the sensors of its central nervous system (CNS). Recently, in the field of theory and practice of intelligent robotics systems management, the solution to the problem of SEMS type urgent task of making decisions about their expedient behavior is based on the integration of the processes of obtaining, processing and storing information, computing, control and monitoring. This enables the efficiency, reliability and safety of operation of SEMS in real time.


Decision-making methods are described, both in the autonomous behavior of SEMS and in their group interaction, based on the principles of bionics, adaptability, intelligence and parallelism in information processing and computation.


This book is intended for students, scientists and engineers specializing in the field ofsmart electromechanical systems and robotics.

Caracteristici

Presents the design and modeling of Smart Electromechanical Systems and Cyber Physical Systems based on the principles of bionics, adaptability, intelligence, and parallelism in information processing and computing Discusses recent research on Behavioral Decision-Making in Smart Electromechanical Systems Introduces the latest achievements of scientists of the Russian Academy of Sciences and leading universities in the theory and practice of decision-making in Smart Electromechanical Systems and Cyber Physical Systems

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.