Smart Electromechanical Systems: Situational Control (Studies in Systems, Decision and Control, 261, Band 261) - Hardcover

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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.

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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 of situation control