递归框架下广义非线性系统的神经模糊控制

2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2018-07-01 DOI:10.1109/ICITEED.2018.8534821

P. Gil, T. Oliveira, A. Cardoso, L. Palma

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引用次数: 0

摘要

提出了一种通用的递归状态空间神经模糊控制框架。它结合了八层神经模糊结构和状态反馈二次稳定控制器。模型和控制器都在约束无气味卡尔曼滤波器中在线更新。多输入多输出系统的仿真结果验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Neuro-Fuzzy Control for Generalised Nonlinear Systems under a Recursive Framework

This paper proposes a general recursive state- space Neuro-Fuzzy control framework. It combines a eight- layered neuro-fuzzy architecture with a state feedback quadratic stabilising controller. Both the model and controller are updated online within a constrained unscented Kalman filter. Results from a benchmark Multi-Input and Multi-Output system demonstrate the effectiveness of the proposed approach.

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2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)

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