Title
Linear algorithms for worst case identification in H∞ with applications to flexible structures
Document Type
Conference Proceeding
Publication Date
12-1-1994
Abstract
This paper is concerned with linear algorithms for identification in H∞ which have been studied in [9]. It is shown that the two different linear algorithms in [9] can be unified into a single one which can be further extended to nonuniformly spaced frequency response samples with exponential convergence for the noise free case. Improved upper bounds for the corresponding identification errors are derived. Applications to the identification of lightly damped systems such as flexible structures are also considered.
Publication Source (Journal or Book title)
Proceedings of the American Control Conference
First Page
112
Last Page
116
Recommended Citation
Gu, G., Chu, C., & Kim, G. (1994). Linear algorithms for worst case identification in H∞ with applications to flexible structures. Proceedings of the American Control Conference, 1, 112-116. Retrieved from https://repository.lsu.edu/eecs_pubs/377