A robust least squares based approach to min‐max model predictive control
From MaRDI portal
Publication:4990838
DOI10.1002/RNC.5011zbMath1466.93047OpenAlexW3040447076MaRDI QIDQ4990838
Valentina Orsini, Leopoldo Jetto
Publication date: 31 May 2021
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.5011
robust least squaresreference trackingrobust model predictive controlmin-max model predictive controlinput parametrization
Sensitivity (robustness) (93B35) Feedback control (93B52) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Model predictive control (93B45)
Related Items (2)
Enhanced trajectory tracking using optimally combined feedforward plant inversion and feedforward closed loop inversion ⋮ Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling
This page was built for publication: A robust least squares based approach to min‐max model predictive control