Computationally-Light Non-Lifted Data-Driven Norm-Optimal Iterative Learning Control
Sign Up to like & getrecommendations! Published in 2018 at "Asian Journal of Control"
DOI: 10.1002/asjc.1569
Abstract: Computational complexity and model dependence are two significant limitations on lifted norm optimal iterative learning control (NOILC). To overcome these two issues and retain monotonic convergence in iteration, this paper proposes a computationally-efficient non-lifted NOILC… read more here.
Keywords: non lifted; optimal iterative; norm optimal; control ... See more keywords
Monotone convergence rate of norm‐optimal‐gain‐arguable iterative learning control for LDTI systems
Sign Up to like & getrecommendations! Published in 2021 at "Asian Journal of Control"
DOI: 10.1002/asjc.2498
Abstract: For a class of repetitive linear discrete‐time‐invariant (LDTI) systems, this paper exploits a norm‐optimal‐gain‐arguable iterative learning control (NOGAILC) scheme. For the scheme, the sequential performance index is additive quadratic norms of the tracking error vector… read more here.
Keywords: convergence; gain; norm optimal; vector ... See more keywords