Parameter Estimation of an AUV Using the Maximum Likelihood method and a Kalman Filter with Fading Memory-Reference-Cited by-同舟云学术

Parameter Estimation of an AUV Using the Maximum Likelihood method and a Kalman Filter with Fading Memory

Published:2010 Issue:16 Volume:43 Page:1-6
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Shahinfar Ehsan,Bozorg Mohammad,Bidoky Mohsen

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Novel identification method from step response;Ahmed;Control Engineering Practice,2006

2. Alessandri A. and Caccia M. (1998). Application of LS and EKF techniques to the identification of underwater vehicles. Proceeding of the IEEE International conference on control applications, Trieste, Italy. pp. 1084-1088.

3. Bidoki M. and Sabzeh Parvar M. (2007). Estimation of the unknown parameters of an AUV in steering mode using system identification methods. The sixth conference of AERO, Tehran, Iran.

4. Convex Optimization;Boyd,2009

5. Guidance and Control of Ocean Vehicles;Fossen,1994

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