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Robust adaptive observer design for uncertain systems with bounded disturbances.

作者信息

Stepanyan Vahram, Hovakimyan Naira

机构信息

Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0203, USA.

出版信息

IEEE Trans Neural Netw. 2007 Sep;18(5):1392-403. doi: 10.1109/tnn.2007.895837.

DOI:10.1109/tnn.2007.895837
PMID:18220188
Abstract

This paper presents a robust adaptive observer design methodology for a class of uncertain nonlinear systems in the presence of time-varying unknown parameters with absolutely integrable derivatives, and nonvanishing disturbances. Using the universal approximation property of radial basis function (RBF) neural networks and the adaptive bounding technique, the developed observer achieves asymptotic convergence of state estimation error to zero, while ensuring boundedness of parameter errors. A comparative simulation study is presented by the end.

摘要

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