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系统识别

6.435 System Identification
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: 2005-03-01
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; 时间序列; 状态空间; 投入产出模型
课程来源: 麻省理工大学公开课
最后编审: 2015-11-21:cmh
阅读次数: 52