Journal
IEEE LATIN AMERICA TRANSACTIONS
Volume 13, Issue 12, Pages 3754-3757Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TLA.2015.7404904
Keywords
Neural Networks; Non-linear systems; Discrete-Time systems; Variable structure control
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This paper introduces a sliding mode controller based on neural networks, for a class of single-input singleoutput (SISO) nonlinear discrete-time systems with unknown dynamics. The system is supposed to be represented by an input-output model implemented with layered neural networks. It is proposed a design procedure which is extended to tracking problems. It is also shown the application of this procedure to one simulated example and compared with the result from a classical controller.
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