State Parameterization Basic Spline Functions for Trajectory Optimization

Authors

  • Maha Musaddak Delphi
  • Suha Najeeb Shihab

Keywords:

basic spline
Bernstein polynomials
state parameter algorithm
optimal control problems

Abstract

An important type of basic functions named basis spline (B-spline) is provided a simpler approximate and more stable approach to solve problems in optimal control. Furthermore, it can be proved that with special knot sequence, the B-spline basis are exactly Bernstein polynomials. The approximate technique is based on state variable is approximate as a linear combination of B-spline then anon linear optimization problem is obtained and the optimal coefficients are calculated using an iterative algorithm. Two different examples are tested using the proposed algorithm.

Author Biographies

Maha Musaddak Delphi

Department of Applied Sciences | University of Technology | Baghdad | Iraq

Suha Najeeb Shihab

Department of Applied Sciences | University of Technology | Baghdad | Iraq

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Published

2019-12-30

How to Cite

1.
State Parameterization Basic Spline Functions for Trajectory Optimization. JNSLAS [Internet]. 2019 Dec. 30 [cited 2024 Jul. 22];3(4):119-0. Available from: https://journals.ajsrp.com/index.php/jnslas/article/view/1990

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How to Cite

1.
State Parameterization Basic Spline Functions for Trajectory Optimization. JNSLAS [Internet]. 2019 Dec. 30 [cited 2024 Jul. 22];3(4):119-0. Available from: https://journals.ajsrp.com/index.php/jnslas/article/view/1990