Kalman Filtering and Neural Networks P5

Chia sẻ: Khinh Kha Kha | Ngày: | Loại File: PDF | Số trang:51

lượt xem

Kalman Filtering and Neural Networks P5

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

DUAL EXTENDED KALMAN FILTER METHODS Eric A. Wan and Alex T. Nelson Department of Electrical and Computer Engineering, Oregon Graduate Institute of Science and Technology, Beaverton, Oregon, U.S.A. 5.1 INTRODUCTION 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). In...

Chủ đề:

Nội dung Text: Kalman Filtering and Neural Networks P5

Đồng bộ tài khoản