期刊
INFORMATION SCIENCES
卷 422, 期 -, 页码 257-270出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2017.09.005
关键词
Adaptive event-triggered scheme; Nonlinear networked interconnected system; Takagi-Sugeno (T-S) fuzzy model
资金
- National Science Foundation of China [61473156, 61773218, 61640313, 61403185]
- Research Fund for the Doctoral Program of Higher Education of China [20133204120018]
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. (C) 2017 Published by Elsevier Inc.
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