A combined first‐ and second‐order approach for model predictive control

This article presents a simple iterative method that combines first‐ and second‐order approaches for linear model predictive control (MPC). Approximate value functions requiring only first‐order derivatives and incorporating fixed second‐order information are employed, which leads to a method that s...

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Vydané v:	International Journal of Robust and Nonlinear Control Ročník 31; číslo 10; s. 4553 - 4569
Hlavní autori:	Deng, Haoyang, Ohtsuka, Toshiyuki
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bognor Regis Wiley 10.07.2021 Wiley Subscription Services, Inc
Predmet:	Equations of state first‐order algorithm Iterative methods Lagrange multiplier majorization minimization principle Mathematical analysis model predictive control Numerical methods Predictive control real‐time optimization second‐order algorithm
ISSN:	1049-8923, 1099-1239
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