A Neurodynamic Optimization Approach to Synthesis of Linear Systems with Fault Detection via Robust Pole Assignment
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員

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摘要This paper presents a neurodynamic optimization approach with two coupled recurrent neural networks for the synthesis of linear systems with fault detection via robust pole assignment. The proposed approach is shown to be capable of synthesizing control systems with robust state estimators and fault detection with parameter perturbation. The operating characteristics of the recurrent neural networks for state estimation and fault detection are demonstrated by using an illustrative example.
著者Le XY, Wang J
會議名稱International Joint Conference on Neural Networks (IJCNN)
會議開始日12.07.2015
會議完結日17.07.2015
會議地點Killarney
會議國家/地區愛爾蘭
詳細描述organized by International Neural Network Society,
出版年份2015
月份1
日期1
出版社IEEE
電子國際標準書號978-1-4799-1959-8
國際標準期刊號2161-4393
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; Computer Science, Hardware & Architecture; Engineering; Engineering, Electrical & Electronic

上次更新時間 2020-27-11 於 01:29