Two degree of freedom robust data-driven fixed-order controller synthesis using convex optimization

2020 ◽  
Author(s):  
Ersin Daş ◽  
Selahattin Çağlar Başlamışlı
Keyword(s):  
Convex Optimization ◽  
Degree Of Freedom ◽  
Controller Synthesis ◽  
Data Driven ◽  
Fixed Order ◽  
Two Degree Of Freedom

Data-driven design of two degree-of-freedom nonlinear controllers: The D2-IBC approach

Automatica ◽  
2016 ◽  
Vol 72 ◽  
pp. 19-27 ◽  
Author(s):  
Carlo Novara ◽  
Simone Formentin ◽  
Sergio M. Savaresi ◽  
Mario Milanese
Keyword(s):  
Degree Of Freedom ◽  
Data Driven ◽  
Nonlinear Controllers ◽  
Two Degree Of Freedom

Improving the Tracking of Generalized Predictive Control Controllers

1996 ◽  
Vol 210 (3) ◽  
pp. 169-182 ◽  
Author(s):  
J A Rossiter ◽  
B G Grinnell
Keyword(s):  
Frequency Domain ◽  
Predictive Control ◽  
Time Domain ◽  
Degree Of Freedom ◽  
Generalized Predictive Control ◽  
Control Law ◽  
Set Point ◽  
The Poor ◽  
Fixed Order ◽  
Two Degree Of Freedom

One of the advantages of predictive control is its ability to take optimal account of information about future set point changes in the specification of the control law. However, the optimum GPC (generalized predictive control) prefilter that uses this information can lead to a deterioration rather than an improvement in the accuracy of tracking. Some simple modifications to GPC to overcome this problem are discussed. It will then be shown how some simple algorithms can be used to design an optimal prefilter that does not have any of the poor effects arising from the standard choice and hence always improves the performance. The basis of the technique is analogous to the two-degree-of-freedom designs common in the literature on H∞. However, here the emphasis is on fixed-order prefilters designed from a time domain, not a frequency domain, objective.

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