Nonlinear Constrained Optimal Control of Wave Energy Converters With Adaptive Dynamic Programming

In this paper, we address the energy maximization problem of wave energy converters (WEC) subject to nonlinearities and constraints, and present an efficient online control strategy based on the principle of adaptive dynamic programming (ADP) for solving the associated Hamilton-Jacobi-Bellman equati...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 66; H. 10; S. 7904 - 7915
Hauptverfasser:	Na, Jing, Wang, Bin, Li, Guang, Zhan, Siyuan, He, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptation models Adaptive control Adaptive dynamic programming (ADP) Computational modeling Computer simulation constrained optimal control Constraint modelling Converters Dynamic programming Force Hydraulic systems Neural networks Nonlinear control Open area test sites Optimal control Optimization wave energy converters (WEC) Wave power
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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