000			03991nam a22005055i 4500
001			u376111
003			SIRSI
005			20160812084356.0
007			cr nn 008mamaa
008			110429s2011 gw | s |||| 0|eng d
020			_a9783642206146 _9978-3-642-20614-6
040			_cMX-MeUAM
050		4	_aTK1-9971
082	0	4	_a621.382 _223
100	1		_aPopovskij, Vladimir. _eauthor.
245	1	0	_aControl and Adaptation in Telecommunication Systems _h[recurso electrónico] : _bMathematical Foundations / _cby Vladimir Popovskij, Alexander Barkalov, Larysa Titarenko.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXII, 176 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Electrical Engineering, _x1876-1100 ; _v94
505	0		_aIntroduction -- Control technologies in telecommunication systems -- Mathematical models and principles of control in TCS -- Methods for providing controllability of TCS -- Recursive estimates of states of network elements -- Synthesis of control algorithms for telecommunication systems -- Taught controlled systems -- Methods of neural networks in control of telecommunication systems -- Methods of automata theory in telecommunication systems -- Business process management and telecommunications.
520			_aThe book is devoted to mathematical foundations providing synthesis and analysis of control and adaptation algorithms targeting modern telecommunication systems (TCS). These algorithms are finding more and more applications in modern telecommunication technologies and they determine the efficiency of TCS. The concept of telecommunication management network is used as a base methodology. The most popular technologies and network management methods are discussed. They include such issues as Common Management Information Protocol, Remote Network Management Protocol Information Base, Simple Network Management Protocol, and Net Flow. The methods of state variables are used as the main mathematic approaches for simulating control tasks. It allows solving the dynamic problems in the recursive style. The decomposition theorem is used for synthesis of control algorithms. Such issues as control algorithms for system observation and system state are discussed in details. The interpretation of applicability for discussed algorithms is given. Some part of the book is devoted to methods of statistic gathering and suppressing of a priori uncertainty. They are reduced to constructing adaptive procedures and algorithms of self-organization and self-repairing for intellectual taught systems. The neural networks, multifunctional automata and Petri nets are discussed as examples. Also, tasks and problems of business processes management are shown in their connection with TCS. Our book targets on students, PhD students and professionals in the area of telecommunications. We hope it will be useful for everybody connected with the new information technologies.
650		0	_aEngineering.
650		0	_aEngineering mathematics.
650		0	_aComputer engineering.
650		0	_aTelecommunication.
650	1	4	_aEngineering.
650	2	4	_aCommunications Engineering, Networks.
650	2	4	_aElectrical Engineering.
650	2	4	_aControl.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
700	1		_aBarkalov, Alexander. _eauthor.
700	1		_aTitarenko, Larysa. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642206139
830		0	_aLecture Notes in Electrical Engineering, _x1876-1100 ; _v94
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-20614-6
596			_a19
942			_cLIBRO_ELEC
999			_c203991 _d203991