Identification and Prediction of Nonlinear Dynamical Plants Using TSK and Wavelet Neuro-Fuzzy Models

A. Banakar, M. Azeem
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引用次数: 7

Abstract

The problem of identification consists of setting up a suitably parameterized identification model and adjusting the parameters of the model by optimizing a performance index. Parallel and parallel-series identification methods are used to adjust an unknown model's parameters. In this paper a combined parallel/series-parallel identification model, based on TSK fuzzy model and wavelet neuro-fuzzy model, is proposed
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基于TSK和小波神经模糊模型的非线性动态对象识别与预测
辨识问题包括建立合适的参数化辨识模型,并通过优化性能指标来调整模型的参数。采用并联和并联串联辨识方法对未知模型参数进行调整。本文提出了一种基于TSK模糊模型和小波神经模糊模型的并联/串并联组合辨识模型
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