國立高雄大學圖資館 |

Language: English

Back

Smart electromechanical systemsthe c...

Gorodetskiy, Andrey E.

Smart electromechanical systemsthe central nervous system /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart electromechanical systemsedited by Andrey E. Gorodetskiy, Vugar G. Kurbanov.
Reminder of title:	the central nervous system /
other author:	Gorodetskiy, Andrey E.
Published:	Cham :Springer International Publishing :2017.
Description:	viii, 270 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Cooperating objects (Computer systems)
Online resource:	http://dx.doi.org/10.1007/978-3-319-53327-8
ISBN:	9783319533278$q(electronic bk.)

Smart electromechanical systemsthe central nervous system /
Smart electromechanical systemsthe central nervous system /[electronic resource] :edited by Andrey E. Gorodetskiy, Vugar G. Kurbanov. - Cham :Springer International Publishing :2017. - viii, 270 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.952198-4182 ;. - Studies in systems, decision and control ;v.3..

Challenges Related To Development Of Central Nervous System Of A Robot On The Bases Of SEMS Modules -- Unified Logical Analysis in Robots' CNS Based on N-tuple Algebra -- SEMS-Based Control in Locally Organized Hierarchical Structures of Robots Collectives -- Logical-Mathematical Model Of Decision Making In Central Nervous System SEMS -- Behavioral Decisions Of A Robot Based On Solving Of Systems Of Logical Equations -- Hierarchical Data Fusion Architecture for Unmanned Vehicles -- Automatic 3D Human Body Modelling -- Optoelectronic autocollimating video sensor for a mobile robot -- Method of constructing a system of optical sensors for mutual orientation of industrial robots for monitoring of the technosphere objects -- Adaptive Capture -- Controlled Ciliated Propulsion -- Flagella Propeller -- Linearized Model Of The Adaptive Platform With Parallel Structure -- Multiagent Approach To Control A Multisection Trunk-Type Manipulator -- Self-Learning Neural Network Control System For Physical Model With One Degree Of Freedom Of System OF Active Vibration Isolation And Pointing Of Payload Spacecraft -- Synthesis Of Control Of Hinged Bodies Relative Motion Ensuring Move Of Orientable Body To Necessary Absolute Position -- Automatic Control System Of Adaptive Capture -- Computer Simulation Of Automatic Control System Ciliated Propulsion -- Methodical Features of Acquisition of Independent Dynamic Equation of Relative Movement of One-degree of Freedom Manipulator on Movable Foundation as Control Object.

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".

ISBN: 9783319533278$q(electronic bk.)

Standard No.: 10.1007/978-3-319-53327-8doiSubjects--Topical Terms:

675607
Cooperating objects (Computer systems)

LC Class. No.: TJ213

Dewey Class. No.: 629.8

Smart electromechanical systemsthe central nervous system /
LDR:04314nmm a2200337 a 4500 001 509149
003 DE-He213
005 20170914105113.0
006 m d
007 cr nn 008maaau
008 171121s2017 gw s 0 eng d
020 $a 9783319533278$q(electronic bk.)
020 $a 9783319533261$q(paper)
024 7 $a 10.1007/978-3-319-53327-8 $2 doi
035 $a 978-3-319-53327-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ213
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TEC004000 $2 bisacsh
082 0 4 $a 629.8 $2 23
090 $a TJ213 $b .S636 2017
245 0 0 $a Smart electromechanical systems $h [electronic resource] : $b the central nervous system / $c edited by Andrey E. Gorodetskiy, Vugar G. Kurbanov.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a viii, 270 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.95
505 0 $a Challenges Related To Development Of Central Nervous System Of A Robot On The Bases Of SEMS Modules -- Unified Logical Analysis in Robots' CNS Based on N-tuple Algebra -- SEMS-Based Control in Locally Organized Hierarchical Structures of Robots Collectives -- Logical-Mathematical Model Of Decision Making In Central Nervous System SEMS -- Behavioral Decisions Of A Robot Based On Solving Of Systems Of Logical Equations -- Hierarchical Data Fusion Architecture for Unmanned Vehicles -- Automatic 3D Human Body Modelling -- Optoelectronic autocollimating video sensor for a mobile robot -- Method of constructing a system of optical sensors for mutual orientation of industrial robots for monitoring of the technosphere objects -- Adaptive Capture -- Controlled Ciliated Propulsion -- Flagella Propeller -- Linearized Model Of The Adaptive Platform With Parallel Structure -- Multiagent Approach To Control A Multisection Trunk-Type Manipulator -- Self-Learning Neural Network Control System For Physical Model With One Degree Of Freedom Of System OF Active Vibration Isolation And Pointing Of Payload Spacecraft -- Synthesis Of Control Of Hinged Bodies Relative Motion Ensuring Move Of Orientable Body To Necessary Absolute Position -- Automatic Control System Of Adaptive Capture -- Computer Simulation Of Automatic Control System Ciliated Propulsion -- Methodical Features of Acquisition of Independent Dynamic Equation of Relative Movement of One-degree of Freedom Manipulator on Movable Foundation as Control Object.
520 $a 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".
650 0 $a Cooperating objects (Computer systems) $3 675607
650 0 $a Robots $x Control systems. $3 182098
650 0 $a Electromechanical devices. $3 219071
650 1 4 $a Engineering. $3 210888
650 2 4 $a Robotics and Automation. $3 357111
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Mechatronics. $3 189824
700 1 $a Gorodetskiy, Andrey E. $3 739083
700 1 $a Kurbanov, Vugar G. $3 775767
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in systems, decision and control ; $v v.3. $3 678532
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-53327-8
950 $a Engineering (Springer-11647)