Nonlinear optimal control: a receding horizon appoach
As advances in computing power forge ahead at an unparalleled rate, an increasingly compelling question that spans nearly every discipline is how best to exploit these advances. At one extreme, a tempting approach is to throw as much computational power at a problem as possible. Unfortunately, this...
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https://thesis.library.caltech.edu/4124/1/Primbs_ja_1999.pdfPrimbs, James A. (1999) Nonlinear optimal control: a receding horizon appoach. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/4AD2-0T48. https://resolver.caltech.edu/CaltechETD:etd-10172005-103315 <https://resolver.caltech.edu/CaltechETD:etd-10172005-103315>