Abstract
In this paper, a new method for solving arbitrary order ordinary differential equations and integro-differential equations of Fredholm and Volterra kind is presented. In the proposed method, these equations with separated boundary conditions are converted to a parametric optimization problem subject to algebraic constraints. Finally, control and state variables will be approximated by a Chebychev series. In this method, a new idea has been used, which offers us the ability of applying the mentioned method for almost all kinds of ordinary differential and integro-differential equations with different types of boundary conditions. The accuracy and efficiency of the proposed numerical technique have been illustrated by solving some test problems.
Similar content being viewed by others
References
El-Gindy, T.M., El-Hawary, H.M., Salim, M.S., El-Kady, M.: A Chebychev approximation for solving optimal control problems. Comput. Math. Appl. 29(6), 35–45 (1995)
El-Kady, M., Elbarbary, E.M.: A Chebychev expansion method for solving nonlinear optimal control problems. J. Appl. Math. Comput. 129, 171–182 (2002)
Siddiqi, S.S., Twizell, E.H.: Spline solutions of linear eighth-order boundary-value problems. Comput. Methods Appl. Mech. Eng. 131, 309–325 (1996)
El-Kady, M., El-Barbary, E.M.: Optimal control approach for system of ordinary differential equations. Appl. Math. Comput. 135, 277–285 (2003)
Loghmani, G.B.: Application of least square method to arbitrary-order problems with separated boundary conditions. J. Comput. Appl. Math. 222, 500–510 (2008)
Malanowski, K., Maurer, H.: Sensitivity analysis for state constrained optimal control problems. Discrete Contin. Dyn. Syst. 4, 241–272 (1998)
Maure, H., Pesch, H.J.: Solution differentiability for parametric nonlinear control-state constraints. J. Optim. Theory Appl. 23, 285–309 (1995)
Maurer, H., Pesch, H.J.: Solution differentiability for parametric nonlinear control problems. SIAM J. Control Optim. 32, 1542–1554 (1994)
Rosch, A., Troltzsch, F.: An optimal control problem arising from the identification of nonlinar heats transfer laws. Arch. Control Sci. 1(3–4), 183–195 (1992)
El-Gendi, S.E.: Chebychev solutions of differential, integral and integro-differential equations. Comput. J. 12, 282–287 (1969)
Van Dooren, R., Vlassenbroeck, J.: A Chebychev technique for solving nonlinear optimal control problems. IEEE Trans. Autom. Control 33(4), 333–339 (1988)
El-Gindy, T.M., Salim, M.S.: Penalty function with partial quadratic interpolation technique in the constrained optimization problems. J. Inist. Math. Comput. Sci. 3(1), 85–90 (1990)
Kelly, H.J.: Methods of gradients. In: Leitman, G. (ed.) Optimization Techniques, pp. 205–254. Academic Press, London (1962)
Walsh, H.J.: Methods of Optimization. Wiley, London (1975)
Luenberger, D.G.: Linear and Nonlinear Programming. Addison-Wesley, Reading (1984)
Siddiqi, S.S., Twizell, E.H.: Spline solutions of linear twelfth-order boundary value problems. J. Comput. Appl. Math. 78, 371–390 (1997)
Wazwaz, A.M.: Approximate solutions to Boundary value problems of higher order by the modified decomposition method. Int. J. Comput. Math. Appl. 40, 679–691 (2000)
Maleknejad, K., Mahmoudi, Y.: Numerical solution of integro-differential equations by using hybrid Taylor and Block–Palse functions. Far East J. Math. Sci. (FJMS) 9(2), 203–213 (2003)
Berenguer, M.I., Fortes, M.A., Garralda Guillem, A.I., Ruiz Galan, M.: Linear Volterra integro-differential equation and Schauder bases. Appl. Math. Comput. 159, 495–507 (2004)
Maleknejad, K., Mahmoudi, Y.: Taylor polynomial solution of high-order nonlinear Volterra Fredholm integro-differential equations. Appl. Math. Comput. 145, 641–653 (2003)
Acknowledgements
The authors are highly grateful to the referee(s) for their valuable comments and suggestions for improving the paper.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zarepour, M., Loghmani, G.B. Numerical Solution of Arbitrary-Order Ordinary Differential and Integro-Differential Equations with Separated Boundary Conditions Using Optimal Control Technique. J Optim Theory Appl 154, 933–948 (2012). https://doi.org/10.1007/s10957-012-0019-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10957-012-0019-4