Accessible Information Without Disturbing Partially Known Quantum States on a von Neumann Algebra
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-018-3749-8
Abstract: This paper addresses the problem of how much information we can extract without disturbing a statistical experiment, which is a family of partially known normal states on a von Neumann algebra. We define the classical… read more here.
Keywords: without disturbing; states von; neumann algebra; partially known ... See more keywords
An analysis of three types of partially-known formal concepts
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DOI: 10.1007/s13042-017-0743-z
Abstract: Formal concept analysis with an incomplete context has received much attention recently, where an object is known to have one set of attributes and not have another set of attributes; for the rest of attributes,… read more here.
Keywords: formal concept; interval set; formal concepts; known formal ... See more keywords
Cooperative Kinematic Control for Multiple Redundant Manipulators Under Partially Known Information Using Recurrent Neural Network
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DOI: 10.1109/access.2020.2974248
Abstract: In this study, we investigate the problem of cooperative kinematic control for multiple redundant manipulators under partially known information using recurrent neural network (RNN). The communication among manipulators is modeled as a graph topology network… read more here.
Keywords: kinematic control; partially known; topology; redundant manipulators ... See more keywords
Computation-Efficient Fault Detection Framework for Partially Known Nonlinear Distributed Parameter Systems.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3263840
Abstract: Fault detection for distributed parameter systems (DPSs) generally requires the complete model information to be known so far. However, for numerous industrial applications, it is common that accurate first-principles physical models are extremely difficult to… read more here.
Keywords: partially known; distributed parameter; fault detection; known nonlinear ... See more keywords