關鍵字查詢 | 類別:會議論文 | | 關鍵字:Chaos synchronization using brain-emotional-learning-based fuzzy control

[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 02 筆查詢結果
序號 學年期 教師動態
1 105/1 電機系 李祖添 約聘專任一般講座教授 會議論文 發佈 Chaos synchronization using brain-emotional-learning-based fuzzy control , [105-1] :Chaos synchronization using brain-emotional-learning-based fuzzy control會議論文Chaos synchronization using brain-emotional-learning-based fuzzy controlHsu, Chun-Fei; Su, Chien-Ting; Lee, Tsu-Tianintelligent control;brain emotional learning model;amygdale system;orbitofrontal system;chaotic synchronizationrain modeling;Fuzzy sets17th International Symposium on Advanced Intelligent SystemsThis paper proposes a brain-emotional-learning-based fuzzy control (BELFC) system which is comprised of a fuzzy amygdale controller (FAC) and a fuzzy orbitofrontal controller (FOC). The FAC is used for providing attention signals and the FOC is designed to inhibit inappropriate responses from the FAC. All adjustable parameters of the BELFC system are on-line tuned based on both of the brain emotional learning model and the gradient descent method. Finally, the proposed BELFC system is applied to chaos synchronization problem. The simulation results show that the chaotic behavior of two nonlinear chaotic sy
2 105/1 電機系 許駿飛 教授 會議論文 發佈 Chaos synchronization using brain-emotional-learning-based fuzzy control , [105-1] :Chaos synchronization using brain-emotional-learning-based fuzzy control會議論文Chaos synchronization using brain-emotional-learning-based fuzzy controlHsu, Chun-Fei; Su, Chien-Ting; Lee, Tsu-Tianintelligent control;brain emotional learning model;amygdale system;orbitofrontal system;chaotic synchronizationrain modeling;Fuzzy sets17th International Symposium on Advanced Intelligent SystemsThis paper proposes a brain-emotional-learning-based fuzzy control (BELFC) system which is comprised of a fuzzy amygdale controller (FAC) and a fuzzy orbitofrontal controller (FOC). The FAC is used for providing attention signals and the FOC is designed to inhibit inappropriate responses from the FAC. All adjustable parameters of the BELFC system are on-line tuned based on both of the brain emotional learning model and the gradient descent method. Finally, the proposed BELFC system is applied to chaos synchronization problem. The simulation results show that the chaotic behavior of two nonlinear chaotic sy
[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 02 筆查詢結果