C
Christopher L. Darby
Researcher at University of Florida
Publications - 12
Citations - 1751
Christopher L. Darby is an academic researcher from University of Florida. The author has contributed to research in topics: Pseudospectral optimal control & Optimal control. The author has an hindex of 9, co-authored 12 publications receiving 1570 citations.
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Journal ArticleDOI
Corrigendum: Algorithm 902: GPOPS, a MATLAB software for solving multiple-phase optimal control problems using the gauss pseudospectral method
Anil V. Rao,David Benson,Christopher L. Darby,Michael A. Patterson,Camila C. Francolin,Ilyssa Sanders,Geoffrey T. Huntington +6 more
TL;DR: An algorithm is described to solve multiple-phase optimal control problems using a recently developed numerical method called the Gauss pseudospectral method, well suited for use in modern vectorized programming languages such as FORTRAN 95 and MATLAB.
Journal ArticleDOI
An hp‐adaptive pseudospectral method for solving optimal control problems
TL;DR: An hp‐adaptive pseudospectral method that iteratively determines the number of segments, the width of each segment, and the polynomial degree required in each segment in order to obtain a solution to a user‐specified accuracy.
Journal ArticleDOI
Direct trajectory optimization and costate estimation of finite-horizon and infinite-horizon optimal control problems using a Radau pseudospectral method
Divya Garg,Michael A. Patterson,Camila C. Francolin,Christopher L. Darby,Geoffrey T. Huntington,William W. Hager,Anil V. Rao +6 more
TL;DR: Numerical results show that the use of LGR collocation as described in this paper leads to the ability to determine accurate primal and dual solutions for both finite and infinite-horizon optimal control problems.
Journal ArticleDOI
Direct Trajectory Optimization Using a Variable Low-Order Adaptive Pseudospectral Method
TL;DR: In this paper, a variable-order adaptive pseudospectral method is presented for solving optimal control problems, which adjusts both themesh spacing and the degree of the polynomial on each mesh interval until a specified error tolerance is satisfied.
Proceedings ArticleDOI
Direct Trajectory Optimization and Costate Estimation of General Optimal Control Problems Using a Radau Pseudospectral Method
Divya Garg,Michael A. Patterson,Christopher L. Darby,Camila C. Francolin,Geoffrey T. Huntington,William W. Hager,Anil V. Rao +6 more
TL;DR: In this article, a method for direct trajectory optimization and costate estimation using global collocation at Legendre-Gauss-Radau (LGR) points is presented, which can be thought of as either a global implicit integration method or a pseudospectral method.