A Parallel-in-Time Newton's Method for Nonlinear Model Predictive Control

Model predictive control (MPC) is a powerful framework for optimal control of dynamical systems. However, MPC solvers suffer from a high computational burden that restricts their application to systems with low sampling frequencies. This issue is further amplified in nonlinear and constrained system...

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Veröffentlicht in:	IEEE transactions on control systems technology S. 1 - 8
Hauptverfasser:	Iacob, Casian, Abdulsamad, Hany, Sarkka, Simo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Computational efficiency Constrained nonlinear optimization Convergence Convex functions Dynamic programming Heuristic algorithms IP networks model predictive control (MPC) Newton method Optimal control Optimization parallel computation Planning
ISSN:	1063-6536, 1558-0865
Online-Zugang:	Volltext
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