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 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
URI	https://reading-clone.eprints-hosting.org/id/eprint/17864
Item Type	Article
Refereed	Yes
Divisions	Science
Publisher	Elsevier
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