University of Hull logo

Neural observer by coordinate transformation

Delgado, A.; Hou, M.; Kambhampati, C.

Authors

A. Delgado

C. Kambhampati C.Kambhampati@hull.ac.uk

Abstract

Nonlinear control affine systems with maximum relative degree and a class of nonlinear differential equations can be transformed into a state representation known as the normal form. Based on the normal form an observer is designed using neural networks as approximation of nonlinear terms in the normal form and the observer gain is determined with a previous result in a triangular form.

Journal Article Type Article
Publication Date Nov 1, 2005
Journal IEE Proceedings: Control Theory and Applications
Print ISSN 1350-2379
Electronic ISSN 1359-7035
Publisher Institution of Engineering and Technology
Peer Reviewed Peer Reviewed
Volume 152
Issue 6
Pages 698-706
Institution Citation Delgado, A., Hou, M., & Kambhampati, C. (2005). Neural observer by coordinate transformation. IEE Proceedings Control Theory and Applications, 152(6), 698-706. https://doi.org/10.1049/ip-cta%3A20045069
DOI https://doi.org/10.1049/ip-cta%3A20045069
Keywords Control and Systems Engineering; Instrumentation; Electrical and Electronic Engineering