A robust least squares based approach to min‐max model predictive control
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5011
Abstract: This article deals with the model predictive control (MPC) of linear, time‐invariant discrete‐time polytopic (LTIDP) systems. The 2‐fold aim is to simplify the treatment of complex issues like stability and feasibility analysis of MPC in… read more here.
Keywords: model predictive; predictive control; least squares; approach ... See more keywords
Adaptive Robust Least-Squares Smoothing Algorithm
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DOI: 10.1109/tim.2022.3210970
Abstract: The Kalman smoothing algorithm is widely used in offline data processing in global navigation satellites system (GNSS) to improve filter calculation accuracy. When there are measurement outliers or biased random models, the adaptive Kalman smoothing… read more here.
Keywords: squares smoothing; adaptive robust; smoothing algorithm; robust least ... See more keywords
Generalized and Robust Least Squares Regression.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3213594
Abstract: As a simple yet effective method, least squares regression (LSR) is extensively applied for data regression and classification. Combined with sparse representation, LSR can be extended to feature selection (FS) as well, in which l1… read more here.
Keywords: loss function; classification; squares regression; generalized robust ... See more keywords