000 | 03722nam a22006015i 4500 | ||
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001 | 978-3-319-41301-3 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 161104s2017 sz | s |||| 0|eng d | ||
020 |
_a9783319413013 _9978-3-319-41301-3 |
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024 | 7 |
_a10.1007/978-3-319-41301-3 _2doi |
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_a629.8312 _223 |
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_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. |
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300 |
_aXIII, 227 p. 124 illus., 83 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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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 |
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650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aMathematics—Data processing. _931594 |
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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 |
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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 | ||
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