Estimation of Recurrent Chaotic Neural Networks Varying Delays through Self-Tuning Feedback Control Mechanism
Sathish Kumar Kumaravel1, Suresh Rasappan2
1K. Sathish Kumar, Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Avadi, Tamil Nadu, Chennai (Tamil Nadu), India.
2R. Suresh, Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Avadi, Tamil Nadu, Chennai (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1243-1246 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6362058719/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, the estimate the noise of recurrent chaotic neural networks with varying time delays. The design of adaptive synchronization control by means of tracking controller is presented which enables the, exponentially mean square stability of the synchronization error of CRNN system.
Keyword: Recurrent, Chaos, Networks, Delays, Feedback Control.
Scope of the Article: Applied Mathematics and Mechanics.