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Input/output linearization using dynamic recurrent neural networks

Delgado, A., Kambhampati, C. and Warwick, K. (1996) Input/output linearization using dynamic recurrent neural networks. Mathematics and Computers in Simulation, 41 (5-6). pp. 451-460. ISSN 0378-4754

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To link to this article DOI: 10.1016/0378-4754(95)00092-5

Abstract/Summary

This paper brings together two areas of research that have received considerable attention during the last years, namely feedback linearization and neural networks. A proposition that guarantees the Input/Output (I/O) linearization of nonlinear control affine systems with Dynamic Recurrent Neural Networks (DRNNs) is formulated and proved. The proposition and the linearization procedure are illustrated with the simulation of a single link manipulator.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:17864
Publisher:Elsevier

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