@article{Kumar:2007:AMC,
	title = {Optimal control for linear singular system using
                 genetic programming},
	author = {A. Vincent Antony Kumar and P. Balasubramaniam},
	journal = {Applied Mathematics and Computation},
	month = {1 September},
	note = {Article in Press},
	number = {1},
	pages = {78--89},
	volume = {192},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2f2784a0a62963182b47b99b092c9cf86/brazovayeye},
	abstract = {In this paper, optimal control for linear singular
                 system with quadratic performance is obtained using
                 genetic programming (GP). The goal is to provide
                 optimal control with reduced calculus effort by
                 comparing the solutions of the matrix Riccati
                 differential equation (MRDE), obtained from well known
                 traditional RungeKutta (RK) method and genetic
                 programming method. To obtain the optimal control, the
                 solution of MRDE is computed based on grammatical
                 evolution. Accuracy of the solution of the GP approach
                 to the problem is qualitatively better. An illustrative
                 numerical example is presented for the proposed
                 method.},
	doi = {doi:10.1016/j.amc.2007.02.122},
	keywords = {Grammatical Linear Matrix Optimal Riccati RungeKutta algorithms, control, differential equation, evolution genetic method, programming, singular system, }
}