Closed Form Solution of Nonlinear-Quadratic Optimal Control Problem by State-control Parameterization using Chebyshev Polynomials
Author(s) -
Hussein Jaddu,
Milan Vlach
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/15914-5281
Subject(s) - chebyshev filter , chebyshev polynomials , terminal (telecommunication) , optimal control , quadratic programming , quadratic equation , sequence (biology) , nonlinear system , state (computer science) , mathematics , nonlinear programming , mathematical optimization , sequential quadratic programming , quadratically constrained quadratic program , computer science , algorithm , mathematical analysis , physics , geometry , quantum mechanics , telecommunications , biology , genetics
In this paper the quasilinearization technique along with the Chebyshev polynomials of the first type are used to solve the nonlinear-quadratic optimal control problem with terminal state constraints. The quasilinearization is used to convert the nonlinear quadratic optimal control problem into sequence of linear quadratic optimal control problems. Then by approximating the state and control variables using Chebyshev polynomials, the optimal control problem can be approximated by a sequence of quadratic programming problems. The paper presents a closed form solution that relates the parameters of each of the quadratic programming problems to the original problem parameters. To illustrate the numerical behavior of the proposed method, the solution of the Van der Pol oscillator problem with and without terminal state constraints is presented.
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