Fusing neighboring-extremals and fuzzy control concepts, in order to deal with large uncertainties and external disturbances, leads to a new rocket guidance methodology. The methodology is shown to produce near-optimal implementable closed-loop guidance for maneuvering rockets. Non-linear simulations of a case study demonstrate performance under large uncertainties.
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