Pole placement in uncertain dynamic systems by variance minimisation
Sign Up to like & getrecommendations! Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.03.007
Abstract: Abstract The problem of pole placement in dynamic systems with uncertainties is addressed using a global optimisation approach. Variability between nominally identical systems, which arises from manufacturing tolerances, wear and environmental variability, is considered. In… read more here.
Keywords: placement uncertain; variance; uncertain dynamic; dynamic systems ... See more keywords
Modeling Uncertain Dynamic Plants With Interval Neural Networks by Bounded-Error Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2964835
Abstract: This paper presents a novel approach to building an interval dynamic model for an industrial plant with uncertainty by an interval neural network (INN). A new type of randomized learner model, named interval random vector… read more here.
Keywords: error data; uncertain dynamic; modeling uncertain; interval neural ... See more keywords
FSTRE: Fuzzy Spatiotemporal RDF Knowledge Graph Embedding Using Uncertain Dynamic Vector Projection and Rotation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2023.3300295
Abstract: Knowledge graphs (KGs) use resource description framework (RDF) triples to model various crisp and static resources in the world. Meanwhile, knowledge embedded into vector space can imply more meanings. Much real-world information, however, is often… read more here.
Keywords: vector; knowledge; spatiotemporal rdf; fuzzy spatiotemporal ... See more keywords