H < inf> ∞ estimation for nonlinear systems
Document Type
Article
Publication Date
12-1-1998
Abstract
An output estimator for a nonlinear system (the extended H∞ estimator) is developed based on suboptimal H∞ estimation theory. The performance bound, used in generating the estimator gain, depends on the model obtained by linearizing the plant about the current estimator state. Therefore, this model and the performance bound vary in an unpredictable manner. Computation of the minimal performance bound at each iteration is untractable, in general. A computationally reasonable adaptive algorithm for generating the performance bound is proposed. The use of this adaptive performance bound is illustrated by application to an example.
Publication Title
IEEE Signal Processing Letters
Recommended Citation
Burl, J.
(1998).
H < inf> ∞ estimation for nonlinear systems.
IEEE Signal Processing Letters,
5(8), 199-202.
http://doi.org/10.1109/97.704971
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10267