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Fixed-Point Iteration Schemes to Solve Symmetric Algebraic Riccati Equation XBX-XA-ATX-C=0

Published: 29 March 2024 Publication History

Abstract

Nonlinear matrix equations have important applications in optimal control problems. This study introduces parametric iterative methods aimed at determining solutions for the symmetric algebraic Riccati equation (SARE) expressed as:
S(X)=XBX-XA-ATX-C=0.
These methods leverage fixed-point and weight-splitting schemes for computation. The study demonstrates the convergence of the proposed schemes to nonnegative solutions of the SARE in specific situations. Additionally, various numerical examples illustrate the effectiveness of these schemes in solving several instances of SAREs.

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Published In

cover image Circuits, Systems, and Signal Processing
Circuits, Systems, and Signal Processing  Volume 43, Issue 6
Jun 2024
684 pages

Publisher

Birkhauser Boston Inc.

United States

Publication History

Published: 29 March 2024
Accepted: 23 February 2024
Revision received: 22 February 2024
Received: 19 January 2023

Author Tags

  1. Symmetric algebraic Riccati equation
  2. Iterative scheme
  3. Splitting iteration scheme

Author Tags

  1. 15A24
  2. 65F10
  3. 65F30

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