An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control

In recent years, efficient optimization algorithms for nonlinear model predictive control (NMPC) have been proposed, that significantly reduce the online computational time. In particular, the direct multiple shooting and the sequential quadratic programming (SQP) are used to efficiently solve nonli...

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Vydané v:	IEEE transactions on automatic control Ročník 64; číslo 7; s. 2712 - 2726
Hlavní autori:	Chen, Yutao, Bruschetta, Mattia, Cuccato, Davide, Beghi, Alessandro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive control Algorithms Computer simulation Computing time Convergence Curvature Dynamical systems Error detection Iterative methods Jacobian matrices Nonlinear control Nonlinear dynamics Nonlinear model predictive control (NMPC) Nonlinear programming Nonlinearity Optimization partial sensitivity update optimization algorithms Prediction algorithms Predictive control Quadratic programming real-time iteration (RTI) Sensitivity Stiffness Tuning
ISSN:	0018-9286, 1558-2523
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