Event-triggered synchronization of delayed neural networks with actuator saturation using quantized measurements |
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| Authors: | Liuwen Li Wenlin Zou Shumin Fei |
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| Institution: | 1. School of Information Engineering, Nanjing Xiaozhuang University, Nanjing, Jiangsu 211171, PR China;2. Key Laboratory of Measurement and Control of CSE (Ministry of Education), School of Automation, Southeast University, Nanjing, Jiangsu 210096, PR China;3. Key Laboratory of Intelligent Information Processing, Nanjing Xiaozhuang University, Nanjing, 211171, PR China |
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| Abstract: | This paper studies event-triggered synchronization control problem for delayed neural networks with quantization and actuator saturation. Firstly, in order to reduce the load of network meanwhile retain required performance of system, the event-triggered scheme is adopted to determine if the sampled signal will be transmitted to the quantizer. Secondly, a synchronization error model is constructed to describe the master-slave synchronization system with event-triggered scheme, quantization and input saturation in a unified framework. Thirdly, on the basis of Lyapunov–Krasovskii functional, sufficient conditions for stabilization are derived which can ensure synchronization of the master system and slave system; particularly, a co-designed parameters of controller and the corresponding event-triggered parameters are obtained under the above stability condition. Lastly, two numerical examples are employed to illustrate the effectiveness of the proposed approach. |
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| Keywords: | Corresponding author at: School of Information Engineering Nanjing Xiaozhuang University Nanjing Jiangsu 211171 PR China |
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