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An Efficient Pseudospectral Method for Solving a Class of Nonlinear Optimal Control Problems

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Listed:
  • Emran Tohidi
  • Atena Pasban
  • A. Kilicman
  • S. Lotfi Noghabi

Abstract

This paper gives a robust pseudospectral scheme for solving a class of nonlinear optimal control problems (OCPs) governed by differential inclusions. The basic idea includes two major stages. At the first stage, we linearize the nonlinear dynamical system by an interesting technique which is called linear combination property of intervals. After this stage, the linearized dynamical system is transformed into a multi domain dynamical system via computational interval partitioning. Moreover, the integral form of this multidomain dynamical system is considered. Collocating these constraints at the Legendre Gauss Lobatto (LGL) points together with using the Legendre Gauss Lobatto quadrature rule for approximating the involved integrals enables us to transform the basic OCPs into the associated nonlinear programming problems (NLPs). In all parts of this procedure, the associated control and state functions are approximated by piecewise constants and piecewise polynomials, respectively. An illustrative example is provided for confirming the accuracy and applicability of the proposed idea.

Suggested Citation

  • Emran Tohidi & Atena Pasban & A. Kilicman & S. Lotfi Noghabi, 2013. "An Efficient Pseudospectral Method for Solving a Class of Nonlinear Optimal Control Problems," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
  • Handle: RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:357931
    DOI: 10.1155/2013/357931
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    References listed on IDEAS

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    1. F. Toutounian & Emran Tohidi & A. Kilicman, 2013. "Fourier Operational Matrices of Differentiation and Transmission: Introduction and Applications," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-11, April.
    2. Emran Tohidi & F. Soleymani & Adem Kilicman, 2013. "Robustness of Operational Matrices of Differentiation for Solving State-Space Analysis and Optimal Control Problems," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-9, April.
    3. F. Toutounian & Emran Tohidi & A. Kilicman, 2013. "Fourier Operational Matrices of Differentiation and Transmission: Introduction and Applications," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    4. Emran Tohidi & F. Soleymani & Adem Kilicman, 2013. "Robustness of Operational Matrices of Differentiation for Solving State‐Space Analysis and Optimal Control Problems," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
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