System identification of fuzzy relation matrix models by semi-tensor product operations

DOI10.1016/j.fss.2021.06.004zbMath1522.93107OpenAlexW3172856412WikidataQ114175368 ScholiaQ114175368MaRDI QIDQ6079373

Wilson Wang, Xiao-Ping Liu, Unnamed Author

Publication date: 30 October 2023

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2021.06.004

zbMATH Keywords

MIMO systemssystem identificationsemi-tensor productfuzzy relation matrixsystem training

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) System identification (93B30) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (2)

Parallel fuzzy relation matrix factorization towards algebraic formulation, universal approximation and interpretability of MIMO hierarchical fuzzy systems ⋮ Distribution-based limited fuzzy bisimulations for nondeterministic fuzzy transition systems

Cites Work

• Unnamed Item
• Approximation of fuzzy functions by regular fuzzy neural networks
• Analysis and control of Boolean networks. A semi-tensor product approach.
• The fuzzy neural network approximation lemma
• Sampled-data controllability and stabilizability of Boolean control networks: nonuniform sampling
• General decomposition of fuzzy relations: semi-tensor product approach
• Convex fuzzy \(k\)-medoids clustering
• A self-adaptive neural fuzzy network with group-based symbiotic evolution and its prediction applications
• Automatic Ensemble Diffusion for 3D Shape and Image Retrieval
• Multiple Fuzzy Relation and Its Application to Coupled Fuzzy Control

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