Two numerical methods for nonlinear constrained quadratic optimal control problems using linear B-spline functions
Author(s):
Abstract:
This paper presents two numerical methods for solving the nonlinear constrained optimal control problems including quadratic performance index.
The methods are based upon linear B-spline functions. The properties of B-spline functions are presented. Two operational matrices of integration are introduced for related procedures. These matrices are then utilized to reduce the solution of the nonlinear constrained optimal control to a nonlinear programming one to which existing well-developed algorithms may be applied. Illustrative examples are included to demonstrate the validity and applicability of the presented techniques.
The methods are based upon linear B-spline functions. The properties of B-spline functions are presented. Two operational matrices of integration are introduced for related procedures. These matrices are then utilized to reduce the solution of the nonlinear constrained optimal control to a nonlinear programming one to which existing well-developed algorithms may be applied. Illustrative examples are included to demonstrate the validity and applicability of the presented techniques.
Keywords:
Language:
English
Published:
Iranian Journal of Numerical Analysis and Optimization, Volume:6 Issue: 2, Summer and Autumn 2016
Pages:
17 to 38
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