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008 100623s2010 xxu| s |||| 0|eng d
020 _a9781441957573
_9978-1-4419-5757-3
040 _cMX-MeUAM
050 4 _aTJ210.2-211.495
050 4 _aTJ163.12
082 0 4 _a629.8
_223
100 1 _aMohammadpour, Javad.
_eeditor.
245 1 0 _aEfficient Modeling and Control of Large-Scale Systems
_h[recurso electrónico] /
_cedited by Javad Mohammadpour, Karolos M. Grigoriadis.
264 1 _aBoston, MA :
_bSpringer US,
_c2010.
300 _aXX, 335 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aModel Reduction, Large-Scale System Modeling and Applications -- Interpolatory Model Reduction of Large-Scale Dynamical Systems -- Efficient Model Reduction for the Control of Large-Scale Systems -- Dynamics of Tensegrity Systems -- Modeling a Complex Aero-Engine Using Reduced Order Models -- Large-Scale Systems Control and Applications -- Robust Control of Large-Scale Systems: Efficient Selection of Inputs and Outputs -- Decentralized Output-Feedback Control of Large-Scale Interconnected Systems via Dynamic High-Gain Scaling -- Decentralized Output Feedback Guaranteed Cost Control of Uncertain Markovian Jump Large-Scale Systems: Local Mode Dependent Control Approach -- Consensus Based Multi-Agent Control Algorithms -- Graph-Theoretic Methods for Networked Dynamic Systems: Heterogeneity and H2 Performance -- A Novel Coordination Strategy for Multi-Agent Control Using Overlapping Subnetworks with Application to Power Systems -- Distributed Control Methods for Structured Large-Scale Systems -- Integrated Design of Large-Scale Collocated Structural System and Control Parameters Using a Norm Upper Bound Approach.
520 _aComplexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system’s order and not necessarily its physical size) appear in many engineering fields, such as micro-electromechanics, manufacturing, aerospace, civil engineering and power engineering. Modeling of these systems often result in very high-order models imposing great challenges to the analysis, design and control problems. "Efficient Modeling and Control of Large-Scale Systems" compiles state-of-the-art contributions on recent analytical and computational methods for addressing model reduction, performance analysis and feedback control design for such systems. Also addressed at length are new theoretical developments, novel computational approaches and illustrative applications to various fields, along with: - An interdisciplinary focus emphasizing methods and approaches that can be commonly applied in various engineering fields -Examinations of applications in various fields including micro-electromechanical systems (MEMS), manufacturing processes, power networks, traffic control "Efficient Modeling and Control of Large-Scale Systems" is an ideal volume for engineers and researchers working in the fields of control and dynamic systems.
650 0 _aEngineering.
650 0 _aSystems theory.
650 0 _aVibration.
650 0 _aControl engineering systems.
650 1 4 _aEngineering.
650 2 4 _aControl , Robotics, Mechatronics.
650 2 4 _aVibration, Dynamical Systems, Control.
650 2 4 _aSystems Theory, Control.
700 1 _aGrigoriadis, Karolos M.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441957566
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-5757-3
596 _a19
942 _cLIBRO_ELEC
999 _c199376
_d199376