A fast convergent extended Kalman observer for nonlinear discrete-time systems

Guo, L. Z. and Zhu, Q. (2002) A fast convergent extended Kalman observer for nonlinear discrete-time systems. International Journal of Systems Science, 33 (13). pp. 1051-1058. ISSN 1464-5319

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Publisher's URL: http://dx.doi.org/10.1080/0020772021000046225


Item Type:Article
Additional Information:This work adopts the novel approach of introducing a neural network into the Kalman observer to deal with the measurement of states of nonlinear systems. This work confirms the authors' contention that introduction of neural networks can relieve the complexity in computition and design of nonlinear dynamic systems.
Faculty/Department:Faculty of Environment and Technology
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology
~Pre-2012 Faculty Structure > Faculty of Environment and Technology
ID Code:5910
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:14 Mar 2013 15:27

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