000 04269nam a22005055i 4500
001 978-1-4471-2265-4
003 DE-He213
005 20140220083235.0
007 cr nn 008mamaa
008 111109s2012 xxk| s |||| 0|eng d
020 _a9781447122654
_9978-1-4471-2265-4
024 7 _a10.1007/978-1-4471-2265-4
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aJohansson, Rolf.
_eeditor.
245 1 0 _aDistributed Decision Making and Control
_h[electronic resource] /
_cedited by Rolf Johansson, Anders Rantzer.
264 1 _aLondon :
_bSpringer London,
_c2012.
300 _aXXX, 426p. 88 illus., 56 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 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v417
505 0 _aFrom the Contents: Primal and Dual Criteria for Robust Stability Applied to Large-scale Systems -- Recursive Bargaining with Dynamic Accumulation -- Optimal Controller Synthesis for a Decentralized Two-player Linear-quadratic Regulator via Spectral Factorization -- Monotone Games for Cognitive Radio Systems -- Decentralized Control with Communication Bandwidth Constraints -- Distributed Nonlinear Estimation for Diverse Sensor Devices -- Performance Prediction in Uncertain Multi-agent Systems Using L1-adaptation-based Distributed Event-triggering.
520 _aDistributed Decision Making and Control is a mathematical treatment of relevant problems in distributed control, decision and multiagent systems, The research reported was prompted by the recent rapid development in large-scale networked and embedded systems and communications. One of the main reasons for the growing complexity in such systems is the dynamics introduced by computation and communication delays. Reliability, predictability, and efficient utilization of processing power and network resources are central issues and the new theory and design methods presented here are needed to analyze and optimize the complex interactions that arise between controllers, plants and networks. The text also helps to meet requirements arising from industrial practice for a more systematic approach to the design of distributed control structures and corresponding information interfaces Theory for coordination of many different control units is closely related to economics and game theory network uses being dictated by congestion-based pricing of a given pathway. The text extends existing methods which represent pricing mechanisms as Lagrange multipliers to distributed optimization in a dynamic setting. In Distributed Decision Making and Control, the main theme is distributed decision making and control with contributions to a general theory and methodology for control of complex engineering systems in engineering, economics and logistics. This includes scalable methods and tools for modeling, analysis and control synthesis, as well as reliable implementations using networked embedded systems. Academic researchers and graduate students in control science, system theory, and mathematical economics and logistics will find mcu to interest them in this collection, first presented orally by the contributors during a sequence of workshops organized in Spring 2010 by the Lund Center for Control of Complex Engineering Systems, a Linnaeus Center at Lund University, Sweden.>
650 0 _aEngineering.
650 0 _aMathematics.
650 0 _aSystems theory.
650 0 _aEconomics, Mathematical.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aSystems Theory, Control.
650 2 4 _aGame Theory/Mathematical Methods.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
700 1 _aRantzer, Anders.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447122647
830 0 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v417
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-2265-4
912 _aZDB-2-ENG
999 _c100636
_d100636