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161104s2017 gw | s |||| 0|eng d |
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|a 9783319413013
|9 978-3-319-41301-3
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|a 10.1007/978-3-319-41301-3
|2 doi
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|a Reynoso Meza, Gilberto.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Controller Tuning with Evolutionary Multiobjective Optimization
|h [electronic resource] :
|b A Holistic Multiobjective Optimization Design Procedure /
|c by Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá.
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| 250 |
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|a 1st ed. 2017.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a XIII, 227 p. 124 illus., 83 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
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|a Intelligent Systems, Control and Automation: Science and Engineering,
|x 2213-8986 ;
|v 85
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| 505 |
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|a From 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.
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| 520 |
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|a This 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.
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|a Control engineering.
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| 650 |
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|a Computational intelligence.
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|a Computer mathematics.
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|a Control and Systems Theory.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T19010
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|a Computational Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014
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| 650 |
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|a Computational Mathematics and Numerical Analysis.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M1400X
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| 700 |
1 |
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|a Blasco Ferragud, Xavier.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 700 |
1 |
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|a Sanchis Saez, Javier.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 700 |
1 |
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|a Herrero Durá, Juan Manuel.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783319412993
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| 776 |
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|i Printed edition:
|z 9783319413006
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319823171
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| 830 |
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|a Intelligent Systems, Control and Automation: Science and Engineering,
|x 2213-8986 ;
|v 85
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-41301-3
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| 912 |
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|a ZDB-2-ENG
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| 912 |
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|a ZDB-2-SXE
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| 950 |
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|a Engineering (SpringerNature-11647)
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| 950 |
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|a Engineering (R0) (SpringerNature-43712)
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