Recurrent Trainable Neural Networks for Complex Systems Identification: A Hybrid System Approach
نویسندگان
چکیده
This paper is devoted to the development of an Identification Framework for unknown Complex Systems. The proposal is based on Recurrent Trainable Neural Networks following a Hybrid System approach. The complex system is identified by using hybrid input-output data defined by a given set of switching hypersurfaces. The effectiveness of the proposed approach is shown using a commutable pendulum with chaotic behavior.
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ورودعنوان ژورنال:
- Research in Computing Science
دوره 118 شماره
صفحات -
تاریخ انتشار 2016