RBF-ARX model-based two-stage scheduling RPC for dynamic systems with bounded disturbance
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3347-y
Abstract: With directly considering the unknown and bounded disturbance, a RBF-ARX model-based two-stage scheduling quasi-min–max robust predictive control (RBF-ARX-TRPC) algorithm for output-tracking control is proposed for a class of smooth nonlinear systems with unknown steady-state knowledge.… read more here.
Keywords: state; bounded disturbance; rbf arx; arx model ... See more keywords
An RBF-ARX Model-Based Variable-Gain Feedback RMPC Algorithm
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DOI: 10.1109/access.2020.2999621
Abstract: The RBF-ARX model has been used intensively in modeling and control of nonlinear systems, in which the coefficients of the NARX model are approximated with RBF networks. In this paper, motivated by the fact that… read more here.
Keywords: model; gain feedback; variable gain; rbf arx ... See more keywords