| 引用本文: | 李俊民,万百五,高淑萍,刑科义.多变量自适应极点配置的递推算法[J].控制理论与应用,1997,14(2):260~265.[点击复制] |
| LI Junmin ， WAN Baiwu，Gao Shuping，XINGKeyi.Recursive Multivariable Adaptive Pole Placement Algorithm[J].Control Theory and Technology,1997,14(2):260~265.[点击复制] |
|
| 多变量自适应极点配置的递推算法 |
| Recursive Multivariable Adaptive Pole Placement Algorithm |
| 摘要点击 823 全文点击 358 投稿时间：1995-04-20 修订日期：1996-12-08 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 |
| 1997,14(2):260-265 |
| 中文关键词 递推极点配置算法 多变量算法 收敛性和稳定性 |
| 英文关键词 recursive pole placement algorithm multivariable system local convergence and stability |
| 基金项目 |
|
| 中文摘要 |
| 本文提出一个递推计算控制器参数的方法，得到具有两层迭代过程的多变量自适应极点配置算法，大幅度减少了在线计算量，同时在辩识算法中利用投影方法，证明了该算法的稳定性和收敛性，引入前馈环节，保证了稳态解耦及跟踪.仿真例子还验证了该方法的有效性. |
| 英文摘要 |
| A two-layers recursive multivariable adaptive pole placement algorithm with a process of iterative computing controller's parameters is presented. The on-Line computation cost of the algorithm is greatly reduced. The proof of the stability and the convergence of the algorithm are respectively established. The algorithm with the feed forward can arbitrarily follow a bounded output. Simulation example shows the efficiency of the algorithm. |