DocumentCode
1602943
Title
Computational methods for medium scale stiff Lyapunov differential equations
Author
Choi, Chiu H.
Author_Institution
Dept. of Electr. Eng., Univ. of North Florida, Jacksonville, FL, USA
fYear
2009
Firstpage
1520
Lastpage
1525
Abstract
Matrix version of the backward differentiation formulas were used for solving medium scale stiff Lyapunov differential equations with known closed-form solutions. The purpose was to investigate whether the backward differentiation formulas will produce accurate solutions for stiff Lyapunov differential equations of medium sizes. The sizes of the equations under consideration in this paper range from 10 times 10 to 200 times 200. An application of this computational method is for obtaining the controllability grammian of a medium scale state-space system. The matrix backward differentiation formulas were encoded as MATLABreg script files with variable step-size feature, which is necessary for efficiently solving stiff equations in the steady state. Effort was put into preserving the structure of the Lyapunov differential equations. They were manipulated into algebraic Lyapunov equations so that numerically stable methods can be applied to obtain the solutions reliably. The findings of this investigation were that accurate solutions of stiff Lyapunov differential equations could be obtained by the matrix backward differentiation formulas and that the step-size of integration could be increased continually without loss of accuracy when the transient components of the solution had faded away.
Keywords
Lyapunov matrix equations; control engineering computing; controllability; differential algebraic equations; differentiation; integration; mathematics computing; numerical stability; observability; state-space methods; MATLAB script file; algebraic Lyapunov equation; closed-form solution; computational method; controllability grammian; integration step-size; matrix backward differentiation formula; medium-scale state-space system; medium-scale-stiff Lyapunov differential equation; numerically stable method; observability grammian; steady state; transient component; Closed-form solution; Computer applications; Computer languages; Controllability; Differential algebraic equations; Differential equations; Large-scale systems; Observability; Riccati equations; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Asian Control Conference, 2009. ASCC 2009. 7th
Conference_Location
Hong Kong
Print_ISBN
978-89-956056-2-2
Electronic_ISBN
978-89-956056-9-1
Type
conf
Filename
5276255
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