Title :
Convergence of pseudospectral discretizations of optimal control problems
Author :
Ross, I. Michael ; Fahroo, Fariba
Author_Institution :
Dept. of Aero/Astro, Naval Postgraduate Sch., Monterey, CA, USA
Abstract :
A generic nonlinear optimal control problem with a Bolza cost functional is discretized by a Legendre pseudospectral method. According to the covector mapping theorem, the Karush-Kuhn-Tucker multipliers of the discrete problem map linearly to the spectrally discretized covectors of the Bolza problem. Using this result, it is shown that the nonlinear programming problem converges to the continuous Bolza problem at a spectral rate assuming regularity of appropriate functions
Keywords :
convergence; functional equations; nonlinear control systems; nonlinear programming; optimal control; Bolza cost functional; Karush-Kuhn-Tucker multipliers; Legendre pseudospectral method; continuous Bolza problem; convergence; covector mapping theorem; discrete problem; generic nonlinear optimal control problem; nonlinear programming problem; pseudospectral discretizations; Approximation methods; Convergence; Cost function; Educational institutions; Government; Lagrangian functions; Optimal control; Polynomials; Postal services; Protection;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980306