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dc.contributor.authorKang, Wei
dc.contributor.authorGong, Qi
dc.contributor.authorRoss, I. Michael
dc.dateDecember 12-15, 2005
dc.date.accessioned2013-03-07T21:43:00Z
dc.date.available2013-03-07T21:43:00Z
dc.date.issued2005-12-12
dc.identifier.urihttps://hdl.handle.net/10945/29647
dc.descriptionThe article of record as published may be located at http://ieeexplore.ieee.orgen_US
dc.descriptionProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain, December 12-15, 2005en_US
dc.description.abstractWe consider the optimal control of feedback linearizable dynamic systems subject to mixed state and control constraints. The optimal controller is allowed to be discontinuous including bang-bang control. Although the nonlinear system is assumed to be feedback linearizable, in general, the optimal control does not linearize the dynamics. The continuous optimal control problem is discretized using pseudospectral (PS) methods. We prove that the discretized problem is always feasible and that the optimal solution to the discretized, constrained problem converges to the possibly discontinuous optimal control of the continuous-time problem.en_US
dc.publisherIEEEen_US
dc.relation.ispartofProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain, December 12-15, 2005
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleConvergence of Pseudospectral Methods for constrained Nonlinear Optimal Control problems, IEEE (44th; December 12-14; Seville, Spain)en_US
dc.typeConference Paperen_US
dc.contributor.corporateOptimal Guidance and Control Laboratory
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.corporateIEEE
dc.contributor.departmentApplied Mathematics
dc.subject.authorAerospace engineering , Aerospace industry , Bang-bang control , Control systems , Convergence , Linear feedback control systems , Nonlinear dynamical systems , Nonlinear systems , Optimal control , State feedbacken_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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