Integral Sliding Mode Exponential Synchronization of Inertial Neural Networks with Time Delays
In this article, the exponential synchronization issue for inertial neural networks (INNs) with time varying delays is addressed. A new synchronous lemma, Lemma 1, has been obtained through some inequality techniques. Also, inspired by sliding mode control method, a new integral sliding mode control...
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Published in | 2022 7th International Conference on Computational Intelligence and Applications (ICCIA) pp. 76 - 80 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
24.06.2022
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/ICCIA55271.2022.9828408 |
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Abstract | In this article, the exponential synchronization issue for inertial neural networks (INNs) with time varying delays is addressed. A new synchronous lemma, Lemma 1, has been obtained through some inequality techniques. Also, inspired by sliding mode control method, a new integral sliding mode control law with mode-dependent integral terms is designed to solve the INNs synchronization problem. By using the new lemma and integral sliding mode controller, a theorem of exponential synchronization is proposed and some novel synchronization criteria are given. Finally, one numerical example is given to show the validity, and the merit of the proposed controller is provided. |
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AbstractList | In this article, the exponential synchronization issue for inertial neural networks (INNs) with time varying delays is addressed. A new synchronous lemma, Lemma 1, has been obtained through some inequality techniques. Also, inspired by sliding mode control method, a new integral sliding mode control law with mode-dependent integral terms is designed to solve the INNs synchronization problem. By using the new lemma and integral sliding mode controller, a theorem of exponential synchronization is proposed and some novel synchronization criteria are given. Finally, one numerical example is given to show the validity, and the merit of the proposed controller is provided. |
Author | Yan, Jiefei Hui, Meng Yao, Ning Zhang, Jiahuang |
Author_xml | – sequence: 1 givenname: Jiefei surname: Yan fullname: Yan, Jiefei email: 1254985298@qq.com organization: School of Electronic Control, Chang' an University,Xi'an,China – sequence: 2 givenname: Meng surname: Hui fullname: Hui, Meng email: xmwswws@163.com organization: School of Electronic Control, Chang' an University,Xi'an,China – sequence: 3 givenname: Jiahuang surname: Zhang fullname: Zhang, Jiahuang email: 1320793069@qq.com organization: School of Electronic Control, Chang' an University,Xi'an,China – sequence: 4 givenname: Ning surname: Yao fullname: Yao, Ning email: 614452429@qq.com organization: School of Electronic Control, Chang' an University,Xi'an,China |
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Snippet | In this article, the exponential synchronization issue for inertial neural networks (INNs) with time varying delays is addressed. A new synchronous lemma,... |
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SubjectTerms | Delay effects Delays Encryption exponential synchronization integral inequation Neural networks sliding mode control Stability criteria Synchronization Traffic control |
Title | Integral Sliding Mode Exponential Synchronization of Inertial Neural Networks with Time Delays |
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