A Numerical Algorithm for Finding Solution of Cross-Coupled Algebraic Riccati Equations
スポンサーリンク
概要
- 論文の詳細を見る
In this letter, a computational approach for solving cross-coupled algebraic Riccati equations (CAREs) is investigated. The main purpose of this letter is to propose a new algorithm that combines Newtons method with a gradient-based iterative (GI) algorithm for solving CAREs. In particular, it is noteworthy that both a quadratic convergence under an appropriate initial condition and reduction in dimensions for matrix computation are both achieved. A numerical example is provided to demonstrate the efficiency of this proposed algorithm.
- （社）電子情報通信学会の論文
- 2008-02-01
著者
-
Mukaidani Hiroaki
Graduate School Of Education Hiroshima University
-
Yamamoto Seiji
Graduate School Of Education Hiroshima University
-
YAMAMOTO Toru
Graduate School of Education, Hiroshima University
-
Yamamoto Toru
Graduate School Of Education Hiroshima University
関連論文
- A-1-34 A Design Method of Robust Non-Fragile Stabilizing Controllers for Uncertain Linear Continuous-Time Systems(A-1. 回路とシステム, 基礎・境界)
- Developing and Evaluating a Training Program for Server Administrators in Schools
- LMI-Based Neurocontroller for State-Feedback Guaranteed Cost Control of Discrete-Time Uncertain System(Neural Networks and Fuzzy Systems, Recent Advances in Circuits and Systems)
- Near-Optimal Control for Singularly Perturbed Stochastic Systems
- A Numerical Algorithm for Finding Solution of Cross-Coupled Algebraic Riccati Equations
- Optimum laser-incident angle for measuring in-plane mode shapes in piezoelectric resonators with polished-multilayered surfaces
- A Design of Model Driven Cascade PID Controllers Using a Neural Network(Nonlinear Theory and its Applications)
- Recursive Computation of Static Output Feedback Stochastic Nash Games for Weakly-Coupled Large-Scale Systems
- Measurement of Relative Velocity Distribution in Centrifugal Blower Impeller
- Stochastic H_∞ Control Problem with State-Dependent Noise for Weakly Coupled Large-Scale Systems
- Efficacy of Motion Correction in fMRI