Title :
On line H2, H∞ and pointwise uncertainty bound quantification in identification of restricted complexity models
Author :
Bai, Er-Wei ; Raman, Sundar
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., IA, USA
Abstract :
The authors consider the problem of online uncertainty bound quantification in identification of restricted complexity models. The algorithms presented provide a hard and tight upper bound on the unknown model uncertainty in H2, H∞, and pointwise senses. The algorithms proposed are simple, online, and recursive. This allows robust control and adaptive identification to be combined
Keywords :
adaptive control; control system synthesis; identification; modelling; optimal control; stability; H∞-quantification; H2-quantification; Laguerre coefficients; adaptive identification; algorithms; identification; online uncertainty bound quantification; plant identifier; pointwise uncertainty; recursive method; restricted complexity models; robust control; unknown model uncertainty; upper bound; Adaptive control; Algorithm design and analysis; Convergence; Equations; H infinity control; Hydrogen; Programmable control; Robust control; Uncertainty; Upper bound;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371133
