Interacting T-S Fuzzy Model Particle Filter

To the uncertainty modeling of nonlinear non-Gaussian dynamic system, a novel interacting T-S fuzzy model particle filter is proposed. In the proposed algorithm, a general interacting T-S fuzzy model framework is constructed. The target feature information is represented by multiple semantic fuzzy s...

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Vydané v:	2019 22th International Conference on Information Fusion (FUSION) s. 1 - 6
Hlavní autori:	Li, Liang-Qun, Wang, Xiao-Li, Xie, Wei-Xin
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ISIF - International Society of Information Fusion 01.07.2019
Predmet:	Adaptation models Clustering algorithms Fuzzy C-regression clustering Fuzzy sets Heuristic algorithms Particle filter Particle filters Semantics T-S fuzzy model Uncertainty
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