000 03532nam a2200361za04500
001 17649
008 050703s2011 gw eng d
020 _a9783642206146 99783642206146
082 _a621.382
_b223
100 _aPopovskij, Vladimir.
_eauthor.
_934389
245 _aControl and Adaptation in Telecommunication Systems
_h[electronic resource]:
_bMathematical Foundations /
_cby Vladimir Popovskij, Alexander Barkalov, Larysa Titarenko.
300 _aXII, 176 p.
_bonline resource.
490 _aLecture Notes in Electrical Engineering
490 _x-1876-1100 ;
_v-94
505 _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 _aEngineering.
_996
650 _aEngineering.
_996
650 _aControl.
_924383
650 _933564
_aAPPL.MATHEMATICS./ COMPUTATIONAL METHODS OF ENGINNEERING.
650 _934018
_aENGINEERING MATHEMATICS
650 _933627
_aCOMMUNICATIONS ENGINEERING, NETWORKS
650 _933592
_aELECTRICAL ENGINEERING
650 _933590
_aCOMPUTER ENGINEERING
650 _930656
_aTELECOMUNICACIÓN
700 _aBarkalov, Alexander.
_934390
700 _eauthor.
_934391
700 _aTitarenko, Larysa.
_934392
700 _eauthor.
_934391
710 _aSpringerLink (Online service)
_9111
856 _uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-3-642-20614-6
_yir a documento
_qURL
942 _2ddc
_cCF
999 _c14274
_d14274