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Manman Yuan,Junyong Zhai 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1
This paper discusses the problem of event-triggered output feedback control for a class of switched stochastic nonlinear systems with unknown output gain. By introducing a dynamic gain into the system, a controller is designed under event-triggering mechanism. It can be shown that all signals of the closed-loop system are bounded in probability. In addition, the Zeno behavior is excluded. An example is provided to verify the effectiveness of the proposed method.
Yongzhen Guo,Yang Luo,Weiping Wang,Xiong Luo,Chao Ge,Jürgen Kurths,Manman Yuan,Yang Gao 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.2
This paper focuses on the dynamical characteristics of complex-valued memristor-based BAM neural network (CVMBAMNN) with leakage time-varying delay. With two different controllers, we have obtained fixedtime and finite-time synchronization criteria respectively in complex domain for our special model, which few work has studied before. Since fixed-time synchronous system can improve communication security, we designed a scheme for RGB image encryption and decryption. In order to satisfy the requirement of much lower error in image secure communication, our approach can get the error of fixed-time synchronization to about 1×10−13. Due to our highly consistent system, we do get good encryption and decryption effect with encryption and decryption scheme. Finally, numerical simulations are included to demonstrate the correctness of our theoretical results.