Smart Electromechanical Systems

Situational Control
1. Auflage 2020
ISBN: 978-3-030-32712-5
Verlag: Springer International Publishing

Buch, Englisch, Band 261, 290 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 464 g

Reihe: Studies in Systems, Decision and Control

This book introduces the latest achievements of Russian scientists regarding the theory and practice of situational control of the SEMS group. It also discusses the development of methods and algorithms for interaction of the SEMS group in situational control, based on the principles of security, flexibility, and adaptability in behavior, as well as parallelism in information processing, computing, and control.

Recently, the task of ensuring the functioning of robots in the framework of collective cooperation has become relevant, and the use of the principles of situational management of the SEMS group makes it possible to ensure the efficiency, reliability and safety of real-time operation.

The topics covered include, but are not limited to the following:

• Problems and principles of situation control
• Methods and algorithms of situational control
• Information and measuring support of situational control systems
• Simulation ofsituation control

This book is intended for students, scientists, and engineers specializing in the fields of smart electromechanical systems and robotics.

Zielgruppe

Research

Autoren/Hrsg.

Tarasova, Irina L.

Gorodetskiy, Andrey E.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

The Principles of Situational Control SEMS Group.- The Problem of the Choice of the Satellite Orbit in the Formation Adaptive Mirror System of the Space Radio Telescope Antenna.- Assessment of situational awareness in groups of interacting robots.- Features of Individual and Collective Operation of Mobile SEMS Modular Type on Basis of Octahedral Dodekapod in Conditions of Incomplete Certainty.- System analysis and management in Group Robotics based on Advanced Cat Swarm algorithm. Lower level hierarchy.- Dynamic Switching of Multi-agent Formation in Unknown Obstacle Environment.- Situational control of the group interaction of mobile robots.- The Formation of the Dish System of the Space Radio Telescope Antenna.- Hierarchical Neuro-Game Model of The Fanet Based Remote Monitoring System Resources Balancing.- Switching operation modes algorithm for the exoskeleton device.

Über Autor(innen)

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.