论文成果
基于拟 Broyden法的非线性系统参数优化迭代学习控制
- 点击次数：
- 发表时间：2013-01-01
- 发表刊物：大连理工大学学报
- 文献类型：J
- 期号：4
- 页面范围：586-592
- ISSN号：1000-8608
- 摘要：To solve the tracking problems of dynamic nonlinear system , combining Broyden‐like method with a parameter‐optimal iterative learning control scheme ,a new monotonically convergent iterative learning control algorithm is proposed . T he Broyden‐like method is used to iteratively calculate the approximation of the Jacobian matrix , and the parameter‐optimal method is used to optimize the learning gain of the algorithm .Compared with traditional New ton‐method ,the proposed algorithm can avoid the calculation of the inverse of the Jacobian matrix .The property of global and monotonic convergence of the algorithm is also proved theoretically .A simulation is carried out to verify the theory ,and the numerical results demonstrate that the algorithm can accurately track the given target , and has the properties of simple implementation and monotonic superlinear‐velocity convergence .
- 备注：新增回溯数据
