Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique Konstantinos Michail Argyrios C. Zolotas Roger Goodall 2134/9258 https://repository.lboro.ac.uk/articles/conference_contribution/Simulation-based_optimum_sensor_selection_design_for_an_uncertain_EMS_system_via_Monte-Carlo_technique/9556400 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. 2012-01-10 14:54:56 Optimum sensor selection Modern control design EMS systems Monte Carlo Genetic algorithms Mechanical Engineering not elsewhere classified