Data-driven adaptive multiple model system utilizing growing self-organizing maps
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2017.06.006
Abstract: Abstract Data-driven soft sensors have seen tremendous development and adoption in both academia and industry. However, one of the challenges remaining is modeling process drifts, degradation and discontinuities in steady-state. Since processes are never truly… read more here.
Keywords: adaptive multiple; growing self; multiple model; data driven ... See more keywords
Adaptive Multiple-Model-Based Fault-Tolerant Control for Non-minimum Phase Hypersonic Vehicles With Input Saturations and Error Constraints
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3185576
Abstract: In this article, an adaptive multiple-model-based fault-tolerant controller is developed for nonminimum phase air-breathing hypersonic vehicles (HSVs) in the presence of parametric uncertainties, elevator faults, input saturations, and time-varying error constraints. Compared with the existing… read more here.
Keywords: adaptive multiple; control; fault tolerant; multiple model ... See more keywords
Adaptive multiple-input multiple-output mode switching for indoor visible light communication system with orthogonal frequency division multiplexing modulation
Sign Up to like & getrecommendations! Published in 2017 at "Chinese Optics Letters"
DOI: 10.3788/col201715.110604
Abstract: We propose and experimentally demonstrate an adaptive multiple-input multiple-output (MIMO) mode switching scheme for an indoor visible light communication system combined with orthogonal frequency division multiplexing modulation. Only requiring 1 bit feedback from the receiver,… read more here.
Keywords: adaptive multiple; mode; system; input multiple ... See more keywords