Paper Title:
Indirect Adaptive Generalized Predictive Control for an Autonomous Underwater Vehicle
  Abstract

This paper investigates the application of indirect adaptive generalized predictive control to an autonomous underwater vehicle motion. A difference controlled auto-regressive integrated moving average model is used as the multi-step predictive model. Recursive least square method based on forgetting factors is used to identify the parameters of the difference controlled auto-regressive integrated moving average model. Simulation result shows that indirect adaptive generalized predictive control algorithm can be used to control the autonomous underwater vehicle motion.

  Info
Periodical
Key Engineering Materials (Volumes 419-420)
Edited by
Daizhong Su, Qingbin Zhang and Shifan Zhu
Pages
837-840
DOI
10.4028/www.scientific.net/KEM.419-420.837
Citation
J. A. Xu, G. F. Liu, W. D. Zhao, M. J. Zhang, "Indirect Adaptive Generalized Predictive Control for an Autonomous Underwater Vehicle", Key Engineering Materials, Vols. 419-420, pp. 837-840, 2010
Online since
October 2009
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