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020 _a9783319533278
_9978-3-319-53327-8
024 7 _a10.1007/978-3-319-53327-8
_2doi
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC037000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
245 1 0 _aSmart Electromechanical Systems: The Central Nervous System
_h[electronic resource] /
_cedited by Andrey E. Gorodetskiy, Vugar G. Kurbanov.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aVIII, 270 p. 106 illus., 28 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v95
505 0 _aChallenges 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 _aThis 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 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 0 _aComputational intelligence.
_97716
650 0 _aMechatronics.
_99548
650 1 4 _aControl, Robotics, Automation.
_931971
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aMechatronics.
_99548
700 1 _aGorodetskiy, Andrey E.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_958739
700 1 _aKurbanov, Vugar G.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_958740
710 2 _aSpringerLink (Online service)
_958741
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319533261
776 0 8 _iPrinted edition:
_z9783319533285
776 0 8 _iPrinted edition:
_z9783319851273
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v95
_958742
856 4 0 _uhttps://doi.org/10.1007/978-3-319-53327-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80207
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