01818nam 22003613a 450 991083295960332120250123132232.0(CKB)4950000000290377(ScCtBLL)7fabc66c-0308-4da4-9dca-1200ae061183(OCoLC)1000371399(EXLCZ)99495000000029037720250123i20092016 uu enguru||||||||||txtrdacontentcrdamediacrrdacarrierSystem Design for UncertaintyFranz S. Hover, Michael S. Triantafyllou[s.l.] :[s.n.],2009.1 online resource (114 p.)The key ingredient in this course - and what differentiates it from many other related courses - is the uncertainty that is encountered whenever a built system is actually installed in the field. We may find uncertainty in the operating environment, whether it is a windy airspace, a bumpy road or an obstacle-strewn factory floor. We also find uncertainty in the parameters that define a system, for example, masses and stiffnesses and dampings, torque constants and physical size. Finally, since complex electromechanical systems involve sensors and actuators, we have to acknowledge uncertainty in measurement and feedback control. Ultimately, such systems are meant to accomplish specific objectives, and the designer's task is to achieve robustness, performance and cost-effectiveness in the presence of uncertainty.SciencebisacshScienceScienceScience.Hover Franz S1788600Triantafyllou Michael SScCtBLLScCtBLLBOOK9910832959603321System Design for Uncertainty4323645UNINA