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具時(shí)滯的Hopfield網(wǎng)絡(luò)周期解的指數(shù)穩(wěn)定性
The paper is devoted to periodic attractor of delayed Hopfield neural networks with time-varying.By constructing Lyapunov functionals and using inequality techniques,some new sufficient criteria are obtained to guarantee the existence and global exponential stability of periodic attractor.Our results improve and extend some existing ones in[13～14].One example is also worked out to demonstrate the advantages of our results.
作 者： 向紅軍 王金華 XIANG Hong-jun WANG Jin-hua 作者單位： Department of Mathematics,Xiangnan University,Chenzhou 423000,China 刊 名： 數(shù)學(xué)季刊（英文版） ISTIC PKU 英文刊名： CHINESE QUARTERLY JOURNAL OF MATHEMATICS 年，卷(期)： 2008 23(2) 分類(lèi)號(hào)： O175.7 關(guān)鍵詞： Hopfield neural networks global exponential stability Lyapunov functional periodic solution【具時(shí)滯的Hopfield網(wǎng)絡(luò)周期解的指數(shù)穩(wěn)定性】相關(guān)文章：
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