Predictive optimal iterative learning control

A new optimization-based iterative learning control algorithm is proposed and its properties derived. An important characteristic of this algorithm is that it uses present and future predicted errors to compute the current control, in a similar manner to model-based predictive control using a recedi...

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Veröffentlicht in:	International journal of control 1998-01, Vol.69 (2), p.203-226
Hauptverfasser:	Amann, Notker, Owens, David H., Rogers, Eric
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Computer science control theory systems Control system synthesis Control theory. Systems Exact sciences and technology
Online-Zugang:	Volltext
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