State Quantized Output Feedback Control for Nonlinear Systems via Event-Triggered Sampling

• 成果类型: Article
• 署名作者: Liu, Wenhui; Ma, Qian; Xu, Shengyuan; Zhang, Zhengqiang
• 署名单位: Nanjing Normal University; Nanjing University of Science & Technology; Qufu Normal University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2021.3135390
• 发表日期: 2022
• 页码: 6810-6817
• 关键词: Event-triggered sampling; Nonlinear systems; output feedback control; state observer; state quantization

摘要

The current article proposes a novel output feedback event-triggered control scheme for nonlinear systems considering state quantization. First, we construct a state observer to track the unavailable system states. Second, a dynamic event-triggered and quantized mechanism is constructed to handle the state sampling and quantization. By designing the event-triggered mechanism to sample the system state, and using the quantizer to filtrate the sampled signals, the wasted resources in the data channels can be effectively reduced, and the communication efficiency can be improved. Then, based on the input-to-state stability method, the asymptotic stability is ensured for the closed-loop systems. Moreover, we propose an event-triggered and quantized control scheme for the nonlinear systems with input delay, and the asymptotic stability is ensured using the Lyapunov-Krasovskii functional method. The proposed output feedback event-triggered and quantized mechanisms can guarantee a positive lower bound of the transmission interval times of communication channels, which means that the Zeno behavior is avoided. Finally, a simulation example is presented to verify the feasibility of the proposed control schemes.