计算机科学
频道(广播)
带宽(计算)
非线性系统
调度(生产过程)
算法
数学
计算机网络
数学优化
量子力学
物理
作者
Guanglei Zhao,Hua Chen,Xinping Guan
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2021-04-01
卷期号:29 (4): 757-771
被引量:12
标识
DOI:10.1109/tfuzz.2020.2965877
摘要
This article investigates the dynamic event-triggered H ∞ control problem for nonlinear networked control systems with unreliable communication channel, variable communication delays, and limited bandwidth. The nonlinear plant is represented by discrete-time polynomial fuzzy model. First, a decentralized dynamic event-triggered mechanism is proposed to determine whether the measured data are transmitted or not, and in order to exclude data collision caused by limited bandwidth, novel try-once-discard and flexible round-robin scheduling protocols are proposed to assign communication channel to certain sensor node. Then, Bernoulli distribution is employed to model the unreliable communication channel, and a new random sequence is developed to model the received data sequence under the effect of data losses and scheduling protocols. Furthermore, a discrete-time stochastic system model with both state and error delays is constructed, and sufficient conditions in the form of sum-of-squares are developed for the design of H ∞ controllers such that the closed-loop system is stochastically stable and preserves guaranteed H ∞ performance. Finally, two simulation examples are provided to illustrate the effectiveness of the proposed results.
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