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:

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.

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:  

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

This book aims to familiarize with the basics of the SEMS theory, including logical-probabilistic and logical-linguistic methods for their design and modeling, taking into account the incomplete certainty of the operating environment and the mental characteristics of the members of the human–machine systems collective. Smart electromechanical systems (SEMS) are used in cyber-physical systems (CPS). The main tasks in the field of theory and practice of CPS are to ensure the efficiency, reliability and safety of operation in real time.

SEMS have been widely used since 2000 in parallel robots or so-called parallel kinematic machines. They offer good opportunities in terms of precision, rigidity and the ability to handle heavy loads. SEMS are used in unmanned vehicles, astronomy, machine tools, medicine and other fields.

Currently, much attention is paid to the methods of designing and modeling SEMS based on the principles of adaptability, intelligence, biomorphism of parallel kinematics and parallelism in information processing and control calculations.

The book consists of four parts:

-  Mechanisms and control systems;

-  The central nervous system;

-  Group control;

-  Examples of using SEMS modules.

The book is recommended for specialists in the field of control, as well as a textbook for masters of universities specializing in the field of smart electromechanical systems and robotics and includes many scientific fields such as kinematics, dynamics and control theory.

This carefully edited book introduces the latest achievements of thescientists of the Russian Academy of Sciences in the field of theory andpractice of Smart Electromechanical Systems (SEMS). The book also focuses onmethods of designing and modeling of SEMS based on the principles ofadaptability, intelligence, biomorphism of parallel kinematics and parallelismin information processing and control computation.

The book chapters are dedicated to the following points of interest:

- methods of design of SEMS modules and intelligent robots based onthem;

- synthesis of neural systems of automatic control over SEMS modules;

- mathematical and computer modeling of SEMS modules and Cyber PhysicalSystems based on them;

- vitality control and reliability analysis based onlogic-and-probabilistic and logic-and-linguistic forecasting;

- methods of optimization of SEMS control systems based on mathematicalprogramming methods in ordinal scale and generalized mathematical programming;

- information-measuring software of SEMS modules and CPS based on them.

This book is intended for students, scientists andengineers specializing in the field of SEMS and robotics, and includes manyscientific domains such as kinematics, dynamics, control theory.

This book describes approaches to solving the problems of developing the central nervous system of robots (CNSR) based on smart electromechanical systems (SEMS) modules, principles of construction of the various modules of the central nervous system and variants of mathematical software CNSR in control systems for intelligent robots. It presents the latest advances in theory and practice at the Russian Academy of Sciences. Developers of intelligent robots to solve modern problems in robotics are increasingly addressing the use of the bionic approach to create robots that mimic the complexity and adaptability of biological systems. These have smart electromechanical system (SEMS), which are used in various cyber-physical systems (CPhS), and allow the functions of calculation, control, communications, information storage, monitoring, measurement and control of parameters and environmental parameters to be integrated. The behavior of such systems is based on the information received from the central nervous system of the robot (CNSR) on the state of the environment and system state.

Recent advances in computer science, measuring and computing techniques have stimulated the practical realization of the CNSR, providing a fundamentally new approach to the methods and algorithms of formation of appropriate robot behavior.

Intelligent robots with CNSR occupy a special place among the highly efficient robotic systems with parallel structures and play an important role in modern automated industries, and this timely book is a valuable resource for specialists in the field of robotics and control, as well as for students majoring in “Robots”, “System analysis and management”, and “Automation 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:

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.

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:  

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

This book aims to familiarize with the basics of the SEMS theory, including logical-probabilistic and logical-linguistic methods for their design and modeling, taking into account the incomplete certainty of the operating environment and the mental characteristics of the members of the human–machine systems collective. Smart electromechanical systems (SEMS) are used in cyber-physical systems (CPS). The main tasks in the field of theory and practice of CPS are to ensure the efficiency, reliability and safety of operation in real time.

SEMS have been widely used since 2000 in parallel robots or so-called parallel kinematic machines. They offer good opportunities in terms of precision, rigidity and the ability to handle heavy loads. SEMS are used in unmanned vehicles, astronomy, machine tools, medicine and other fields.

Currently, much attention is paid to the methods of designing and modeling SEMS based on the principles of adaptability, intelligence, biomorphism of parallel kinematics and parallelism in information processing and control calculations.

The book consists of four parts:

-  Mechanisms and control systems;

-  The central nervous system;

-  Group control;

-  Examples of using SEMS modules.

The book is recommended for specialists in the field of control, as well as a textbook for masters of universities specializing in the field of smart electromechanical systems and robotics and includes many scientific fields such as kinematics, dynamics and control theory.

This carefully edited book introduces the latest achievements of thescientists of the Russian Academy of Sciences in the field of theory andpractice of Smart Electromechanical Systems (SEMS). The book also focuses onmethods of designing and modeling of SEMS based on the principles ofadaptability, intelligence, biomorphism of parallel kinematics and parallelismin information processing and control computation.

The book chapters are dedicated to the following points of interest:

- methods of design of SEMS modules and intelligent robots based onthem;

- synthesis of neural systems of automatic control over SEMS modules;

- mathematical and computer modeling of SEMS modules and Cyber PhysicalSystems based on them;

- vitality control and reliability analysis based onlogic-and-probabilistic and logic-and-linguistic forecasting;

- methods of optimization of SEMS control systems based on mathematicalprogramming methods in ordinal scale and generalized mathematical programming;

- information-measuring software of SEMS modules and CPS based on them.

This book is intended for students, scientists andengineers specializing in the field of SEMS and robotics, and includes manyscientific domains such as kinematics, dynamics, control theory.

This book describes approaches to solving the problems of developing the central nervous system of robots (CNSR) based on smart electromechanical systems (SEMS) modules, principles of construction of the various modules of the central nervous system and variants of mathematical software CNSR in control systems for intelligent robots. It presents the latest advances in theory and practice at the Russian Academy of Sciences. Developers of intelligent robots to solve modern problems in robotics are increasingly addressing the use of the bionic approach to create robots that mimic the complexity and adaptability of biological systems. These have smart electromechanical system (SEMS), which are used in various cyber-physical systems (CPhS), and allow the functions of calculation, control, communications, information storage, monitoring, measurement and control of parameters and environmental parameters to be integrated. The behavior of such systems is based on the information received from the central nervous system of the robot (CNSR) on the state of the environment and system state.

Recent advances in computer science, measuring and computing techniques have stimulated the practical realization of the CNSR, providing a fundamentally new approach to the methods and algorithms of formation of appropriate robot behavior.

Intelligent robots with CNSR occupy a special place among the highly efficient robotic systems with parallel structures and play an important role in modern automated industries, and this timely book is a valuable resource for specialists in the field of robotics and control, as well as for students majoring in “Robots”, “System analysis and management”, and “Automation and control”.