A new trust region-sequential quadratic programming approach for nonlinear systems based on nonlinear model predictive control

In this article, a superlinearly convergent trust region-sequential quadratic programming approach is first proposed, developed and investigated for nonlinear systems based on nonlinear model predictive control. The method incorporates a combination algorithm that allows both the trust region techni...

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Veröffentlicht in:	Engineering optimization Jg. 51; H. 6; S. 1071 - 1096
Hauptverfasser:	Sun, Z.B., Sun, Y.Y., Li, Y., Liu, K.P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 03.06.2019 Taylor & Francis Ltd
Schlagworte:	Algorithms bipedal walking robot Computer simulation Control systems Convergence global convergence Iterative methods Mathematical models Nonlinear control Nonlinear model predictive control Nonlinear systems Optimization Parameters Predictive control Quadratic programming Real time Robots superlinear convergence trust region-sequential quadratic programming algorithm Walking
ISSN:	0305-215X, 1029-0273
Online-Zugang:	Volltext
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