计算机科学
控制理论(社会学)
非线性系统
方案(数学)
自适应控制
李雅普诺夫函数
理论(学习稳定性)
传输(电信)
事件(粒子物理)
控制(管理)
数学
人工智能
电信
数学分析
物理
量子力学
机器学习
作者
Zhou Gu,Dong Yue,Engang Tian
标识
DOI:10.1016/j.ins.2017.09.005
摘要
This paper is concerned with the design of adaptive event-triggered scheme for networked nonlinear interconnected systems via T-S fuzzy models. The transmission of control signals is based on a novel adaptive event-triggered communication scheme, where the adaptive threshold is dependent on a dynamic error of the system rather than a predetermined constant as the one in the existing results. The amount of the releasing data is regulated with the adaptive threshold that plays a crucial role in decision of whether releasing the sampled data or not. This technique reflects an inherent dynamic balance between the control performance and the utilization of the network resource. A corresponding Lyapunov function is constructed to achieve sufficient conditions of stability and stabilization. Finally, a simulation example is given to show the effectiveness of the proposed theoretic results.
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