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Fuzzy-Affine-Model-Based Filtering Design With Memory-Based Dynamic Event-Triggered Protocol
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DOI：10.1109/TFUZZ.2022.3199822.png)
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摘要
En 中文
In this article, a novel dynamic event-triggered protocol is constructed to deal with the filtering problem for affine systems presented by Takagi-Sugeno (T-S) fuzzy model. Unlike the traditional fuzzy systems, a unified framework of T-S fuzzy affine systems is formulated, which is more capable of approximation over different operating regions. For achieving desirable performance while saving communication resources, the memory-based dynamic event-triggered protocol is constructed by flexibly exploiting a series of historically triggered packets. The fading channel is time-varying and described as a novel nonhomogeneous Markov process, in which a higher level deterministic switching signal regulates the variation of transition probabilities. By adopting the region-dependent Lyapunov theory, the mean-square exponentially stable, and expected H-8 performance for resulting systems is guaranteed. In the end, an inverted pendulum model is applied to verify the results of the theoretical analysis.
Keyword:
Fading channels
Markov processes
Protocols
Switches
Nonlinear systems
Takagi-Sugeno model
System performance
memory-based dynamic event-triggered protocol
nonhomogeneous Markov process
T-S fuzzy affine model
期刊
IF:
11.9
论文数:
5.0K
被引数:
2.9W
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