Pseudospectral Chebyshev Optimal Control of Constrained Nonlinear Dynamical Systems

  • Authors:
  • Gamal N. Elnagar;Mohammad A. Kazemi

  • Affiliations:
  • Department of Mathematics and Computer Science, University of South Carolina Spartanburg, Spartanburg, SC 29303;Department of Mathematics, University of North Carolina at Charlotte, Charlotte, North Carolina 28223

  • Venue:
  • Computational Optimization and Applications
  • Year:
  • 1998

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Abstract

A pseudospectral method for generating optimal trajectoriesof linear and nonlinear constrained dynamic systems is proposed. Themethod consists of representing the solution of the optimal controlproblem by an mth degree interpolating polynomial, using Chebyshevnodes, and then discretizing the problem using a cell-averagingtechnique. The optimal control problem is thereby transformed into analgebraic nonlinear programming problem. Due to its dynamic nature,the proposed method avoids many of the numerical difficultiestypically encountered in solving standard optimal control problems.Furthermore, for discontinuous optimal control problems, we developand implement a Chebyshev smoothing procedure which extracts thepiecewise smooth solution from the oscillatory solution near thepoints of discontinuities. Numerical examples are provided, whichconfirm the convergence of the proposed method. Moreover, acomparison is made with optimal solutions obtained by closed-formanalysis and/or other numerical methods in the literature.