CFP last date
20 May 2024
Reseach Article

Shooting Methods for Two-Point Boundary Value Problems of Discrete Control Systems

by G. Kishore Babu, M.s. Krishnarayalu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 6
Year of Publication: 2015
Authors: G. Kishore Babu, M.s. Krishnarayalu
10.5120/19543-1394

G. Kishore Babu, M.s. Krishnarayalu . Shooting Methods for Two-Point Boundary Value Problems of Discrete Control Systems. International Journal of Computer Applications. 111, 6 ( February 2015), 16-20. DOI=10.5120/19543-1394

@article{ 10.5120/19543-1394,
author = { G. Kishore Babu, M.s. Krishnarayalu },
title = { Shooting Methods for Two-Point Boundary Value Problems of Discrete Control Systems },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 6 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number6/19543-1394/ },
doi = { 10.5120/19543-1394 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:47:09.830682+05:30
%A G. Kishore Babu
%A M.s. Krishnarayalu
%T Shooting Methods for Two-Point Boundary Value Problems of Discrete Control Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 6
%P 16-20
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Two-point boundary value problems (TPBVP) are an important class of problems which appear frequently in optimal control. These may be well conditioned or ill conditioned. A well- conditioned TPBVP will have a system matrix with linearly independent columns due to closeness of its eigenvalues. On the other hand an ill conditioned TPBVP will have a system matrix with almost linearly dependent columns due to wide variation of its eigenvalues. In other words, a well- conditioned system is a one- time scale system whereas an ill conditioned system is a multi-time scale system. Ill conditioned systems are computationally stiff systems with widely separated eigenvalues. The stiffness increases with increase in time scales. The solution of TPBVP of discrete control systems is obtained by shooting method, that is, a number of initial value problems (IVP) will be shot to get the solution of TPBVP. The solution of a well-conditioned TPBVP is easier compared to an ill-conditioned TPBVP. An ill-conditioned TPBVP requires orthonormalization process to make the columns of the system matrix linearly independent. More the stiffness more the number of orthonormalization processes. Here the method of complimentary functions is used for well-conditioned systems and Conte's method for ill-conditioned systems. First we develop shooting methods for well-conditioned and ill-conditioned TPBVP of discrete control systems. Later the methods are supported with two illustrative examples one for each case.

References
  1. Roberts S. M. and Shipman J. S. (1972) Two-point Boundary Value Problems: Shooting Methods. Elsevier, New York.
  2. SUNG N. HA, "A Nonlinear Shooting Method for Two-Point Boundary Value Problems" Computers and Mathematics with Applications 42 (2001) 1411-1420.
  3. Dinkar Sharma, Ram Jiwari, SheoKumar, "Numerical Solution of Two Point Boundary Value Problems Using Galerkin-Finite Element Method" ISSN 1749-3889 (print), 1749-3897 (online) International Journal of Nonlinear Science Vol. 13(2012) No. 2,pp. 204-210.
  4. Koichi F. and Kunihiko K. (2003). Bifurcation cascade as chaotic itinerancy with multiple time scales. Chaos: An Interdisciplinary Journal of Nonlinear Science, 13, 1041-1056.
  5. Naidu D. S. (2002), Singular Perturbations and Time Scales in Control Theory and Applications: An Overview. Dynamics of Continuous, Discrete & Impulsive Systems, 9, 2, 233-278.
  6. Naidu, D. S and Rao, A. K. (1985), Singular perturbation analysis of discrete control systems. Volume 1154 of Lecture Notes in Mathematics, A. Dold and B. Eckmann, eds, Springer-Verlag.
  7. Naidu, D. S and D. B Price (1988), Singular perturbations and time scales in the design of digital flight control systems. NASA Technical paper 2844.
  8. Krishnarayalu M. S. (1989), Singular perturbation method applied to the open-loop discrete optimal control problem with two small parameters. Int. J. Systems Science, 20, 5, 793-809.
  9. Krishnarayalu M. S. (1994), Singular perturbation analysis of a class of initial and boundary value problems in multiparameter digital control systems. Control- Theory and Advanced Technology, 10, 3, 465-477.
  10. Krishnarayalu M. S. (1999), Singular perturbation methods for one-point, two-point and multi-point boundary value problems in multiparameter digital control systems. Journal of Electrical and Electronics Engineering, Australia, 19, 3, 97-110.
  11. Krishnarayalu M. S. (2008), Singular perturbation method applied to the discrete Euler-Lagrange free-endpoint optimal control problem. Automatic Control (theory and applications) AMSE journal, 63, 3, 16-29.
  12. Kishore Babu G. and Krishnarayalu M. S. (2014) Some Applications of Discrete One Parameter Singular Perturbation Method. JCET Vol. 4 Iss. 1, PP. 76-81.
  13. Calovic, M. (1971), Dynamic State Space Models of Electric Power Systems(Urbana: University of Illinois Press).
  14. Kishore Babu G. and Krishnarayalu M. S. (2014) "Suboptimal Control of Singularly Perturbed Two Parameter Discrete Control System" International Electrical Engineering Journal (IEEJ) Vol. 5 (2014) No. 11, pp. 1594-1604, ISSN 2078-2365.
Index Terms

Computer Science
Information Sciences

Keywords

Discrete control Time-scale systems Optimal control Stiff two-point boundary value problem Shooting method Orthonormalization