Title :
Computational Experience in Solving Algebraic Riccati Equations
Author_Institution :
National Institute for Research & Development in Informatics, 011455 Bucharest, Romania vsima@cci.ro
Abstract :
State-of-the-art, uni-processor algebraic Riccati equation solvers for automatic control computations are investigated and compared for various problem sizes. General-purpose SLICOT solvers are very efficient for small-size problems, but they cannot compete for larger problems with specialized solvers designed for certain problem classes, such as Newton solvers using low rank Cholesky factors of the solutions of Lyapunov equations built at each iteration.
Keywords :
algebraic Riccati equations; computer-aided control system design; numerical algorithms; numerical linear algebra; software library; Biological control systems; Biology computing; Control system synthesis; Linear algebra; MATLAB; Optimal control; Riccati equations; Software algorithms; Software libraries; System analysis and design; algebraic Riccati equations; computer-aided control system design; numerical algorithms; numerical linear algebra; software library;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1583453