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Costate approximation in optimal control using integral Gaussian quadrature orthogonal collocation methods
Authors:Camila C. Françolin  David A. Benson  William W. Hager  Anil V. Rao
Affiliation:1. Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL 32611, USA;2. The Charles Stark Draper Laboratory, Inc., Cambridge, MA 02139, USA;3. Department of Mathematics, University of Florida, Gainesville, FL 32611, USA
Abstract:
Two methods are presented for approximating the costate of optimal control problems in integral form using orthogonal collocation at Legendre–Gauss (LG) and Legendre–Gauss–Radau (LGR) points. It is shown that the derivative of the costate of the continuous‐time optimal control problem is equal to the negative of the costate of the integral form of the continuous‐time optimal control problem. Using this continuous‐time relationship between the differential and integral costate, it is shown that the discrete approximations of the differential costate using LG and LGR collocation are related to the corresponding discrete approximations of the integral costate via integration matrices. The approach developed in this paper provides a way to approximate the costate of the original optimal control problem using the Lagrange multipliers of the integral form of the LG and LGR collocation methods. The methods are demonstrated on two examples where it is shown that both the differential and integral costate converge exponentially as a function of the number of LG or LGR points. Copyright © 2014 John Wiley & Sons, Ltd.
Keywords:
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