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020 _a9781846282157
_99781846282157
024 7 _a10.1007/1846282152
_2doi
035 _avtls000343740
039 9 _a201509030750
_bVLOAD
_c201404120957
_dVLOAD
_c201404090734
_dVLOAD
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_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aZakian, Vladimir.
_eeditor.
_9323088
245 1 0 _aControl Systems Design :
_bA New Framework /
_cedited by Vladimir Zakian.
264 1 _aLondon :
_bSpringer London,
_c2005.
300 _axiv, 398 páginas 89 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781852339135
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-84628-215-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c291683
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