The Constrained Total Least Squares Solution for Virtual Reference Feedback Tuning
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2259
Abstract: Abstract Virtual Reference Feedback Tuning (VRFT) is a direct data-driven control design method employed to tune a controller’s parameters aiming to achieve a prescribed closed-loop performance. Its primary formulation leads to a biased estimate in… read more here.
Keywords: reference feedback; constrained total; least squares; total least ... See more keywords
Data-driven model reference control of MIMO vertical tank systems with model-free VRFT and Q-Learning.
Sign Up to like & getrecommendations! Published in 2018 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.01.014
Abstract: This paper proposes a combined Virtual Reference Feedback Tuning-Q-learning model-free control approach, which tunes nonlinear static state feedback controllers to achieve output model reference tracking in an optimal control framework. The novel iterative Batch Fitted… read more here.
Keywords: control; reference; model reference; virtual reference ... See more keywords