摘要
A Hamiltonian structure-preserving Lanczos-type method, named the J-Lanczos algorithm, is introduced for solving large sparse Hamiltonian eigenvalue problem which arises in both continuous-time and discrete-time optimal control applications. Shift and invert techniques are incorporated to approximate all stable eigenvalues and the associated invariant subspace. Numerical results for solving high order continuous-time Riccati equation arising from position and velocity control for a string of high speed vehicles are presented.
原文 | English |
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文章編號 | 5870715 |
頁(從 - 到) | 3855-3860 |
頁數 | 6 |
期刊 | Proceedings of the IEEE Conference on Decision and Control |
卷 | 4 |
DOIs | |
出版狀態 | Published - 1997 |
事件 | Proceedings of the 1997 36th IEEE Conference on Decision and Control. Part 1 (of 5) - San Diego, CA, USA 持續時間: 10 12月 1997 → 12 12月 1997 |