Multi-objective optimal control: an overview

Optimization techniques have been a crucial tool for designing control systems and for tuning controllers. The always increasing quality requirements for new products and consequently the natural advance in control system design have lead to the introduction of more than one design criterion, which...

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Bibliographic Details
Main Authors: Gambier, Adrián (Author) , Badreddin, Essameddin (Author)
Format: Chapter/Article Conference Paper
Language:English
Published: 2007
In: IEEE International Conference on Control Applications, 2007
Year: 2007, Pages: 170-175
DOI:10.1109/CCA.2007.4389225
Online Access:Verlag, Volltext: https://ieeexplore.ieee.org/document/4389225
Verlag, Volltext: https://doi.org/10.1109/CCA.2007.4389225
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Author Notes:Adrian Gambier, Essameddin Badreddin
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Summary:Optimization techniques have been a crucial tool for designing control systems and for tuning controllers. The always increasing quality requirements for new products and consequently the natural advance in control system design have lead to the introduction of more than one design criterion, which will require in turn more sophisticated techniques to solve such Multi-Objective Optimization (MOO) problems. Thus, many examples of using MOO techniques in control have appeared in the literature. In this paper, several optimal control design problems are analyzed from the MOO point of view. Moreover, some suggestions about how standard control design techniques can be extended to introduce multi-objective optimization are given.
Item Description:Gesehen am 22.01.2020
Physical Description:Online Resource
ISBN:9781424404438
1424404428
9781424404421
DOI:10.1109/CCA.2007.4389225