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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Veröffentlicht in:	International Journal of Robust and Nonlinear Control Jg. 31; H. 10; S. 4553 - 4569
Hauptverfasser:	Deng, Haoyang, Ohtsuka, Toshiyuki
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis Wiley 10.07.2021 Wiley Subscription Services, Inc
Schlagworte:	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
Online-Zugang:	Volltext
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