Banitalebi, Ahmad and Ahmad, Rohanin and Abd. Aziz, Mohd. Ismail (2012) A direct method for optimal control problem. International Journal of Pure and Applied Mathematics, 81 (1). pp. 33-47. ISSN 1311-8080
Full text not available from this repository.
Official URL: http://www.ijpam.eu
Abstract
A new stochastic algorithm called Probabilistic Global Search Johor (PGSJ) has recently been established for global optimization of nonconvex real valued problems on finite dimensional Euclidean space. In this paper we present convergence guarantee for this algorithm in probabilistic sense without imposing any more condition. Then, we jointly utilize this algorithm along with control parameterization technique for the solution of constrained optimal control problem. The numerical simulations are also included to illustrate the efficiency and effectiveness of the PGSJ algorithm in the solution of control problems.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Mathematics |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Science |
| ID Code: | 46480 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 22 Jun 2015 05:56 |
| Last Modified: | 11 Sep 2017 07:08 |
Repository Staff Only: item control page
