Abstract
Over the last years, two new technologies to solve optimal-control problems were successfully developed: that is, pseudospectral optimal control and convex optimization, with the former for solving the general nonlinear programming problem and the latter aimed at solving convex problems (for example, second-order conic problems) in real time. In this paper, a framework for combining them, with a motivational example, is described. The benefits of the new proposed method are demonstrated for the descent phase of the NASA Mars Science Laboratory. Numerical simulations show that the proposed algorithms lead to more accurate results with respect to standard transcription methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
