A dynamic programming approach to the approximation of nonlinear L₂-gain

Title: A dynamic programming approach to the approximation of nonlinear L₂-gain
Creator: Dower, Peter M.; Kellett, Christopher M.
Relation: 47th IEEE Conference on Decision and Control (CDC 2008). Proceedings of the 47th IEEE Conference on Decision and Control (Cancun, Mexico 9-11 December, 2008)
Publisher Link: http://dx.doi.org/10.1109/CDC.2008.4738990
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2008
Description: A generalization of the L₂-gain inequality based on nonlinear gains is considered. Using optimization and dynamic programming to characterize lower bounds for the minimal gain function for which this nonlinear L₂-gain inequality holds, a technique for computation of nonlinear L₂- gain bounds is proposed. Some simple illustrative examples are explored.
Subject: optimization; dynamic programming; computation; minimal gain function
Identifier: http://hdl.handle.net/1959.13/802988
Identifier: uon:6264
Identifier: ISBN:9781424431243
Language: eng
Reviewed

		Thumbnail	File	Description	Size	Format