Input/output linearization using dynamic recurrent neural networksDelgado, 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 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/0378-4754(95)00092-5 Abstract/SummaryThis 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.
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