Desenvolvimento de Sistemas Fuzzy Recorrentes com Realimentação Externa
(Development of Recurrent Fuzzy Systems with External Feedback)
Cristian Klen dos Santos (email@example.com)1, Rogério Pinto Espíndola (firstname.lastname@example.org)2, Alexandre Gonçalves Evsukoff (email@example.com)3
1Instituto de Pesquisas da Marinha (IPqM)2Centro Universitário da Zona Oeste (UEZO)3Universidade Federal do Rio de Janeiro (COPPE/UFRJ)
This paper appears in: Revista IEEE América Latina
Publication Date: Jan. 2015
Volume: 13, Issue: 1
This paper investigates the use of three external feedback connections in the development of new recurrent fuzzy models for prediction of nonlinear dynamic systems. These models are formulated by state space equations. The state transition function is a TSK recurrent fuzzy system with an external feedback connection and adaptive delayed operators, and the output function is a polynomial function of the states. The identification of the model's parameters is carried out by a canonical differential evolution algorithm. The model performance was evaluated in benchmark problems found in the literature and the results demonstrated that the aiding of external feedbacks enhanced the recurrent fuzzy system quality, yielding models with good performance.
Recurrent Fuzzy Systems, System Identification, Differential Evolution
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