Quantized control for extended dissipative synchronization of chaotic neural networks: A discretized LKF method

• Published in: ISA transactions Vol. 125; pp. 1 - 9
• Main Authors: Wang, Yuan, Zhou, Youmei, Zhou, Jianping, Xia, Jianwei, Wang, Zhen
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2022
• Subjects: Chaotic neural networks; Discretized Lyapunov–Krasovskii functional; Extended dissipativity; Quantized control; Synchronization; Discretized Lyapunov–Krasovskii functional; Extended dissipativity; Quantized control; Synchronization; Chaotic neural networks
• ISSN: 0019-0578; 1879-2022
• DOI: 10.1016/j.isatra.2021.06.013

This work focuses on the extended dissipative synchronization problem for chaotic neural networks with time delay under quantized control. The discretized Lyapunov–Krasovskii functional method, in combination with the free-weighting matrix approach, is employed to obtain an analysis result of the extended dissipativity with low conservatism. Then, with the help of several decoupling methods, a computationally tractable design approach is proposed for the needed quantized controller. Finally, two examples are provided to illustrate the usefulness of the present analysis and design methods, respectively. •The extended dissipative synchronization problem for chaotic time-delay neural networks under quantized control is investigated.•An analysis result of the extended dissipativity is derived by the discretized Lyapunov–Krasovskii functional method and the free-weighting matrix approach.•A computationally tractable design approach for the needed quantized controller is proposed by using some decoupling methods.