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001 978-1-84628-215-7
003 DE-He213
005 20161121231017.0
007 cr nn 008mamaa
008 100301s2005 xxk| s |||| 0|eng d
020 _a9781846282157
_9978-1-84628-215-7
024 7 _a10.1007/1-84628-215-2
_2doi
050 4 _aTJ210.2-211.495
050 4 _aTJ163.12
072 7 _aTJFM
_2bicssc
072 7 _aTJFD
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTEC037000
_2bisacsh
082 0 4 _a629.8
_223
245 1 0 _aControl Systems Design
_h[electronic resource] :
_bA New Framework /
_cedited by Vladimir Zakian.
264 1 _aLondon :
_bSpringer London,
_c2005.
300 _aXIV, 398 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aBasic Principles -- Foundation of Control Systems Design -- Computational Methods (with Numerical Examples) -- Matching Conditions for Transient Inputs -- Matching to Environment Generating Persistent Disturbances -- LMI-based Design -- Design of a Sampled-data Control System -- Search Methods (with Numerical Tests) -- A Numerical Evaluation of the Node Array Method -- A Simulated Annealing Inequalities Solver -- Multi-objective Genetic Algorithms for the Method of Inequalities -- Case Studies -- Design of Multivariable Industrial Control Systems by the Method of Inequalities -- Multi-objective Control using the Principle of Inequalities -- A MoI Based on ?? Theory — with a Case Study -- Critical Control of the Suspension for a Maglev Transport System -- Critical Control of Building under Seismic Disturbance -- Design of a Hard Disk Drive System -- Two Studies of Robust Matching.
520 _aIn recent decades, a comprehensive new framework for the theory and design of control systems has emerged. This framework is based on a radically different foundation from the conventional approach. It treats a range of significant and ubiquitous design problems, including those of critical systems, more effectively than the conventional framework. Control Systems Design brings together contributions from the originators of the new framework in which they explain, expand and revise their research work in the field with more recent and entirely novel material. The book also demonstrates how the conventional design framework can be made more effective by the use of the principle of inequalities. It is divided into four parts: • basic principles, including those of matching and inequalities with adjustments for robust matching and matching based on H-infinity methods and linear matrix inequalities; • computational methods, including matching conditions for transient inputs and design of a sampled-data control system; • search methods including search with simulated annealing, genetic algorithms and evaluation of the node array method; • case studies, including applications in distillation, benchmarking critical control of magnetic levitation systems and the use of the principle of matching in cruise control. This book will be of great interest to academics and institutional researchers in control system design and to those studying for higher degrees in this area.
650 0 _aEngineering.
650 0 _aSystem theory.
650 0 _aEngineering design.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aEngineering.
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aSystems Theory, Control.
650 2 4 _aEngineering Design.
700 1 _aZakian, Vladimir.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781852339135
856 4 0 _uhttp://dx.doi.org/10.1007/1-84628-215-2
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c507230
_d507230