Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS

Chia sẻ: Dph Dph | Ngày: | Loại File: PDF | Số trang:51

0
105
lượt xem
14
download

Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS

Mô tả tài liệu
  Download Vui lòng tải xuống để xem tài liệu đầy đủ

The Extended Kalman Filter (EKF) provides an efficient method for generating approximate maximum-likelihood estimates of the state of a discrete-time nonlinear dynamical system (see Chapter 1). The filter involves a recursive procedure to optimally combine noisy observations with predictions from the known dynamic model. A second use of the EKF involves estimating the parameters of a model (e.g., neural network) given clean training data of input and output data (see Chapter 2).

Chủ đề:
Lưu

Nội dung Text: Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS

Đồng bộ tài khoản