Abstract
A new procedure for the solution of the regional inverse eigenvalue problem is suggested and applied to the pole assignment problem of control theory. Algebraic inequalities are derived, they set bounds on the real and imaginary parts of the closed-loop matrix eigenvalues. As a result, these eigenvalues are located inside a prescribed rectangular region in the complex plane, which is better in real applications to control the system performance by a controller matrix which is computed in a more simpler way. (author). 26 refs.
Citation Formats
Shalaby, M A.
A regional inverse eigenvalue problem: Solution with application in control theory.
IAEA: N. p.,
1992.
Web.
Shalaby, M A.
A regional inverse eigenvalue problem: Solution with application in control theory.
IAEA.
Shalaby, M A.
1992.
"A regional inverse eigenvalue problem: Solution with application in control theory."
IAEA.
@misc{etde_10132253,
title = {A regional inverse eigenvalue problem: Solution with application in control theory}
author = {Shalaby, M A}
abstractNote = {A new procedure for the solution of the regional inverse eigenvalue problem is suggested and applied to the pole assignment problem of control theory. Algebraic inequalities are derived, they set bounds on the real and imaginary parts of the closed-loop matrix eigenvalues. As a result, these eigenvalues are located inside a prescribed rectangular region in the complex plane, which is better in real applications to control the system performance by a controller matrix which is computed in a more simpler way. (author). 26 refs.}
place = {IAEA}
year = {1992}
month = {Oct}
}
title = {A regional inverse eigenvalue problem: Solution with application in control theory}
author = {Shalaby, M A}
abstractNote = {A new procedure for the solution of the regional inverse eigenvalue problem is suggested and applied to the pole assignment problem of control theory. Algebraic inequalities are derived, they set bounds on the real and imaginary parts of the closed-loop matrix eigenvalues. As a result, these eigenvalues are located inside a prescribed rectangular region in the complex plane, which is better in real applications to control the system performance by a controller matrix which is computed in a more simpler way. (author). 26 refs.}
place = {IAEA}
year = {1992}
month = {Oct}
}