Title
Direct data-driven recursive controller unfalsification with analytic update
Abstract
Unfalsified control is a data-driven, plant-model-free controller design method, which recursively falsifies controllers that fail to meet the specified performance requirement. In ellipsoidal unfalsified control, the region of controllers that are unfalsified, the unfalsified set, is described by an ellipsoid. Due to the combination of the performance requirement and controller structure, the approximate update of the unfalsified set can be computed analytically, resulting in a computationally cheap algorithm. Conditions for stability of ellipsoidal unfalsified control are presented, and the effectiveness of the proposed algorithm is shown in a simulation.
Year
DOI
Venue
2007
10.1016/j.automatica.2007.04.026
Automatica
Keywords
Field
DocType
Adaptive control,Self-tuning control,Stability analysis,Unfalsified control,Ellipsoidal unfalsified set,Switching control
Performance requirement,Mathematical optimization,Ellipsoid,Control theory,Data-driven,Control theory,Controller design,Adaptive control,Mathematics,Recursion,Control synthesis
Journal
Volume
Issue
ISSN
43
12
Automatica
Citations 
PageRank 
References 
17
1.65
5
Authors
3
Name
Order
Citations
PageRank
Jeroen van Helvoort1414.52
Bram de Jager211621.17
Maarten Steinbuch365896.53