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Linlin Hou,Pengfei Ma,Xuan Ma,Haibin Sun 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.4
The problem of H∞ exponential synchronization for switched cellular neural networks that are subjected to multiple exogenous disturbances is investigated. The exogenous disturbances are rejected and attenuated by combining disturbance observer-based control with H∞ control. Based on the admissible edge-dependent average dwell time scheme and the Lyapunov-Krasovskii functional technique, a synchronization criterion formulated by linear matrix inequalities is procured for switched cellular neural networks with external disturbances. Finally, the effectiveness of the obtained results is verified through a numerical simulation.
l2-l∞ Control for Sampled-data Systems with Packet Dropout: Switched System Method
Xiaoling Li,Linlin Hou 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.11
In this paper, the problem of l2 −l∞ control is investigated for the sampled-data systems including packet dropout. The sampled-data system is modeled as a discrete-time switched system based on the number of lost packets. Then the controller is designed to guarantee the discrete-time switched system is exponentially stable with a prescribed l2 −l∞ performance subject to mode dependent average dwell time approach. The sufficient conditions to solve the controller gain is derived via a set of linear matrix inequalities (LMIs). Finally, an example is presented to show the effectiveness of the obtained results.