On the convergence of nonlinear optimal control using pseudospectral methods for feedback linearizable systems |
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Authors: | W. Kang Q. Gong I. M. Ross F. Fahroo |
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Affiliation: | 1. Department of Applied Mathematics, Naval Postgraduate School, Monterey, CA 93943, U.S.A.Department of Applied Mathematics, Naval Postgraduate School, Monterey, CA 93943, U.S.A.===;2. Department of Mechanical and Astronautical Engineering, Naval Postgraduate School, Monterey, CA 93943, U.S.A.;3. Department of Applied Mathematics, Naval Postgraduate School, Monterey, CA 93943, U.S.A. |
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Abstract: | We consider the optimal control of feedback linearizable dynamic systems subject to mixed state and control constraints. In contrast to the existing results, the optimal controller addressed in this paper is allowed to be discontinuous. This generalization requires a substantial modification to the existing convergence analysis in terms of both the framework as well as the notion of convergence around points of discontinuity. Although the nonlinear system is assumed to be feedback linearizable, the optimal control does not necessarily linearize the dynamics. Such problems frequently arise in astronautical applications where stringent performance requirements demand optimality over feedback linearizing controls. We prove that a sequence of solutions obtained using the Legendre pseudospectral method converges to the optimal solution of the continuous‐time problem under mild conditions. Published in 2007 by John Wiley & Sons, Ltd. |
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Keywords: | pseudospectral methods optimal control feedback linearizable systems |
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