IFAC2011_Simulation-based_Optimum_Sensor_selection_design_for_an_uncertain_ems_system_via_monte-carlo_technique[1].pdf (393.52 kB)

Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique

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conference contribution
posted on 10.01.2012, 14:54 by Konstantinos Michail, Argyrios C. Zolotas, Roger Goodall
Optimum sensor selection in control system design is often a non-trivial task to do. This paper presents a systematic design framework for selecting the sensors in an optimum manner that simultaneously satisfies complex system performance requirements such as optimum performance and robustness to structured uncertainties. The framework combines modern control design methods, Monte Carlo techniques and genetic algorithms. Without losing generality its efficacy is tested on an electromagnetic suspension system via appropriate realistic simulations.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

MICHAIL, K. ... et al., 2011. Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique. Proceedings of the 18th World Congress, Milan, Italy. The International Federation of Automatic Control, 2011, pp. 12650 - 12655.

Publisher

© IFAC

Version

VoR (Version of Record)

Publication date

2011

Notes

This is a conference paper. It is also available at: http://www.ifac-papersonline.net/Detailed/51625.html

ISBN

9783902661937

Language

en

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