000 03722nam a22006015i 4500
001 978-3-319-41301-3
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005 20220801221131.0
007 cr nn 008mamaa
008 161104s2017 sz | s |||| 0|eng d
020 _a9783319413013
_9978-3-319-41301-3
024 7 _a10.1007/978-3-319-41301-3
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8312
_223
082 0 4 _a003
_223
100 1 _aReynoso Meza, Gilberto.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954292
245 1 0 _aController Tuning with Evolutionary Multiobjective Optimization
_h[electronic resource] :
_bA Holistic Multiobjective Optimization Design Procedure /
_cby Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXIII, 227 p. 124 illus., 83 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 _aIntelligent Systems, Control and Automation: Science and Engineering,
_x2213-8994 ;
_v85
505 0 _aFrom the Contents: Part I Fundamentals -- Tutorial on Multiobjective Optimization Design procedure -- Review on MOOD procedure for controller tuning -- Tools for the MOOD procedure -- Part II Basics -- Controller tuning for SISO processes.
520 _aThis book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning applications, by means of Evolutionary Multiobjective Optimization (EMO). It presents developments in tools, procedures and guidelines to facilitate this process, covering the three fundamental steps in the procedure: problem definition, optimization and decision-making. The book is divided into four parts. The first part, Fundamentals, focuses on the necessary theoretical background and provides specific tools for practitioners. The second part, Basics, examines a range of basic examples regarding the MOOD procedure for controller tuning, while the third part, Benchmarking, demonstrates how the MOOD procedure can be employed in several control engineering problems. The fourth part, Applications, is dedicated to implementing the MOOD procedure for controller tuning in real processes.
650 0 _aControl engineering.
_931970
650 0 _aComputational intelligence.
_97716
650 0 _aMathematics—Data processing.
_931594
650 1 4 _aControl and Systems Theory.
_931972
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aComputational Mathematics and Numerical Analysis.
_931598
700 1 _aBlasco Ferragud, Xavier.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954293
700 1 _aSanchis Saez, Javier.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954294
700 1 _aHerrero Durá, Juan Manuel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954295
710 2 _aSpringerLink (Online service)
_954296
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319412993
776 0 8 _iPrinted edition:
_z9783319413006
776 0 8 _iPrinted edition:
_z9783319823171
830 0 _aIntelligent Systems, Control and Automation: Science and Engineering,
_x2213-8994 ;
_v85
_954297
856 4 0 _uhttps://doi.org/10.1007/978-3-319-41301-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79327
_d79327