6.435系统识别(麻省理工学院)6.435 System Identification (MIT) |
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课程网址: | http://ocw.mit.edu/courses/electrical-engineering-and-computer-sc... |
主讲教师: | Prof. Munther Dahleh |
开课单位: | 麻省理工学院 |
开课时间: | 信息不详。欢迎您在右侧留言补充。 |
课程语种: | 英语 |
中文简介: | 本课程面向毕业生,包括诸如系统数学模型等主题,以及对其行为的观察;时间序列,状态空间和输入输出模型;模型结构,参数化和可识别性;非参数方法;参数估计,收敛,一致性和渐近分布的预测误差方法;与最大似然估计的关系;递归估计;与卡尔曼滤波器的关系;结构确定;订单估计; Akaike标准;有界但未知的噪声模型;和稳健性和实际问题。 |
课程简介: | This course is offered to graduates and includes topics such as mathematical models of systems from observations of their behavior; time series, state-space, and input-output models; model structures, parametrization, and identifiability; non-parametric methods; prediction error methods for parameter estimation, convergence, consistency, and asymptotic distribution; relations to maximum likelihood estimation; recursive estimation; relation to Kalman filters; structure determination; order estimation; Akaike criterion; bounded but unknown noise model; and robustness and practical issues. |
关 键 词: | 数学模型; 模型结构; 阶估计; Akaike准则 |
课程来源: | 信息不详。欢迎您在右侧留言补充。 |
最后编审: | 2015-10-12:linxl |
阅读次数: | 97 |