IFAC2011_Simulation-based_Optimum_Sensor_selection_design_for_an_uncertain_ems_system_via_monte-carlo_technique.pdf (393.52 kB)
Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique
conference contributionposted on 2012-01-10, 14:54 authored 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.
- Mechanical, Electrical and Manufacturing Engineering
CitationMICHAIL, 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.
- VoR (Version of Record)
NotesThis is a conference paper. It is also available at: http://www.ifac-papersonline.net/Detailed/51625.html