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.
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
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