| 未知时延系统的全局优化辅助变量辨识 |
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| 引用本文： | 王建宏,王道波.未知时延系统的全局优化辅助变量辨识[J].航空计算技术,2011,41(3):57-61. |
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| 作者姓名： | 王建宏 王道波 |
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| 作者单位： | 南京航空航天大学,自动化学院,江苏,南京,210016 |
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| 摘 要： | 对于未知时延系统,借助分离性原理,推导出迭代的可分离的非线性最小二乘（SNLS）辨识方法。为了降低收敛于局部最小的可能性,消除强观测噪声所引起的参数估计的偏差,利用全局优化理论,引进辅助变量,推导了全局优化的辅助变量（GOIV）辨识方法。仿真试验验证了算法的有效性。
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| 关 键 词： | 时延 系统辨识 全局优化 辅助变量 |
Identification of Systems with Unknown Time Delay by Global Optimization Instrumental Variable Method |
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| WANG Jian-hong,WANG Dao-bo.Identification of Systems with Unknown Time Delay by Global Optimization Instrumental Variable Method[J].Aeronautical Computer Technique,2011,41(3):57-61. |
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| Authors: | WANG Jian-hong WANG Dao-bo |
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| Institution: | (College of Automation Engineer,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China) |
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| Abstract: | For systems with unknown time delay,an iterative separable nonlinear least-squares(SNLS) identification method is proposed by means of the separable principle.Then a global optimization instrumental variable(GOIV) identification method which estimates the time delay and transfer function parameters separably is derived to reduce the possibility of convergence to a local minimum by using the global optimization theory and introducing a instrumental variable.The GOIV method can also eliminate the biases of the estimates in the presence of high measurement noise.The simulation results confirm the theoretical results. |
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| Keywords: | time delay system identification global optimization instrumental variable |
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