A dynamic programming approach to the approximation of nonlinear L-2-gain
Peter M Dower, Christopher M Kellett
47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008) | IEEE | Published : 2008
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 L 2-gain inequality holds, a technique for computation of nonlinear L2gain bounds is proposed. Some simple illustrative examples are explored. © 2008 IEEE.