A Performance-Driven MPC Algorithm for Underactuated Bridge Cranes

A crane system often works in a complex environment. It is difficult to model or learn its true dynamics by traditional system identification approaches. If a dynamics model is created by minimizing its prediction error, its use tends to introduce inaccuracies and thus lead to suboptimal performance...

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Veröffentlicht in:	Machines (Basel) Jg. 9; H. 8; S. 177
Hauptverfasser:	Bao, Hanqiu, Kang, Qi, An, Jing, Ma, Xianghua, Zhou, Mengchu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.08.2021
Schlagworte:	Algorithms anti-sway Artificial intelligence Bridges Control algorithms Control systems design Controllers Cranes Cranes & hoists data-driven approach Dynamics Iterative methods Machine learning Mathematical models Methods Optimal control Optimization Ordinary differential equations Parameters Performance prediction performance-driven model predictive control Prediction models Predictive control Proportional integral derivative Robots Robust control System identification Systems stability Two dimensional models underactuated bridge crane
ISSN:	2075-1702, 2075-1702
Online-Zugang:	Volltext
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