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Erschienen in:
Design of Fuzzy Supervisor-Based Adaptive Process Control Systems Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

6. Control Through Genetic Algorithms

verfasst von : Nicolae Paraschiv, Marius Olteanu, Elena Simona Nicoara

Erschienen in: New Approaches in Intelligent Control

Verlag: Springer International Publishing

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Abstract

Many real world applications require automatic control. This chapter addresses genetic algorithms to achieve the control, based on their numerous advantages for the difficult problems. First of all a unitary approach of the control through the perspective of the systems theory is presented. There are described examples of control in biology, economy and technical areas in order to highlight the general system behaviors: preventive control, reactive control or combined control. In the next section, fundamentals of genetic algorithms theory are featured: genetic representation, genetic operators, how it works and why it works. Further, two process control systems based on genetic algorithms are described: a chemical process control involving mass transfer, where the genetic algorithms are used in the system identification for a NARMAX model, an important issue with respect to model based control and a job shop scheduling process in manufacturing area where the genetic algorithm is the tool to model the optimization process control.

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Vorheriges Kapitel Intelligent Control Systems and Applications on Smart Grids
Nächstes Kapitel Knowledge-Based Intelligent Process Control
Fußnoten
1
DNA is the hereditary material in all living organisms; nearly every cell of the body has the same DNA. The information in DNA is stored as a code formed of four chemical bases [13].
 
2
Valid definition for the large majority of living organisms, whose cells are structured in nucleus and cytoplasm.
 
3
About three trillion times bigger than in a microchip.
 
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Metadaten
Titel
Control Through Genetic Algorithms
verfasst von
Nicolae Paraschiv
Marius Olteanu
Elena Simona Nicoara
Copyright-Jahr
2016
Buch
New Approaches in Intelligent Control

Print ISBN: 978-3-319-32166-0

Electronic ISBN: 978-3-319-32168-4

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-32168-4_6