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http://localhost/handle/Hannan/584888
عنوان: | Lag Synchronization of Memristor-Based Coupled Neural Networks via omega Measure |
پدیدآورنده: | Ning Li;Jinde Cao |
کلید واژه ها: | transmittal delay.|memristor-based coupled neural networks|lag synchronization|parameters mismatch|Feedback control |
تاریخ انتشار: | 2016 |
ناشر: | IEEE |
چکیده: | This paper deals with the lag synchronization problem of memristor-based coupled neural networks with or without parameter mismatch using two different algorithms. Firstly, we consider the memristor-based neural networks with parameter mismatch, lag complete synchronization cannot be achieved due to parameter mismatch, the concept of lag quasi-synchronization is introduced. Based on the ω -measure method and generalized Halanay inequality, the error level is estimated, a new lag quasi-synchronization scheme is proposed to ensure that coupled memristor-based neural networks are in a state of lag synchronization with an error level. Secondly, by constructing Lyapunov functional and applying common Halanary inequality, several lag complete synchronization criteria for the memristor-based neural networks with parameter match are given, which are easy to verify. Finally, two examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization or lag complete synchronization criteria, which well support theoretical results. |
آدرس: | http://localhost/handle/Hannan/147542 http://localhost/handle/Hannan/584888 |
ISSN: | 2162-237X 2162-2388 |
دوره: | 27 |
شماره: | 3 |
مجموعه(های): | 2016 |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
7294682.pdf | 3.97 MB | Adobe PDF | ![]() مشاهده فایل |
عنوان: | Lag Synchronization of Memristor-Based Coupled Neural Networks via omega Measure |
پدیدآورنده: | Ning Li;Jinde Cao |
کلید واژه ها: | transmittal delay.|memristor-based coupled neural networks|lag synchronization|parameters mismatch|Feedback control |
تاریخ انتشار: | 2016 |
ناشر: | IEEE |
چکیده: | This paper deals with the lag synchronization problem of memristor-based coupled neural networks with or without parameter mismatch using two different algorithms. Firstly, we consider the memristor-based neural networks with parameter mismatch, lag complete synchronization cannot be achieved due to parameter mismatch, the concept of lag quasi-synchronization is introduced. Based on the ω -measure method and generalized Halanay inequality, the error level is estimated, a new lag quasi-synchronization scheme is proposed to ensure that coupled memristor-based neural networks are in a state of lag synchronization with an error level. Secondly, by constructing Lyapunov functional and applying common Halanary inequality, several lag complete synchronization criteria for the memristor-based neural networks with parameter match are given, which are easy to verify. Finally, two examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization or lag complete synchronization criteria, which well support theoretical results. |
آدرس: | http://localhost/handle/Hannan/147542 http://localhost/handle/Hannan/584888 |
ISSN: | 2162-237X 2162-2388 |
دوره: | 27 |
شماره: | 3 |
مجموعه(های): | 2016 |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
7294682.pdf | 3.97 MB | Adobe PDF | ![]() مشاهده فایل |
عنوان: | Lag Synchronization of Memristor-Based Coupled Neural Networks via omega Measure |
پدیدآورنده: | Ning Li;Jinde Cao |
کلید واژه ها: | transmittal delay.|memristor-based coupled neural networks|lag synchronization|parameters mismatch|Feedback control |
تاریخ انتشار: | 2016 |
ناشر: | IEEE |
چکیده: | This paper deals with the lag synchronization problem of memristor-based coupled neural networks with or without parameter mismatch using two different algorithms. Firstly, we consider the memristor-based neural networks with parameter mismatch, lag complete synchronization cannot be achieved due to parameter mismatch, the concept of lag quasi-synchronization is introduced. Based on the ω -measure method and generalized Halanay inequality, the error level is estimated, a new lag quasi-synchronization scheme is proposed to ensure that coupled memristor-based neural networks are in a state of lag synchronization with an error level. Secondly, by constructing Lyapunov functional and applying common Halanary inequality, several lag complete synchronization criteria for the memristor-based neural networks with parameter match are given, which are easy to verify. Finally, two examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization or lag complete synchronization criteria, which well support theoretical results. |
آدرس: | http://localhost/handle/Hannan/147542 http://localhost/handle/Hannan/584888 |
ISSN: | 2162-237X 2162-2388 |
دوره: | 27 |
شماره: | 3 |
مجموعه(های): | 2016 |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
7294682.pdf | 3.97 MB | Adobe PDF | ![]() مشاهده فایل |