Abstract
This paper treats a robustness optimization problem for linear time-invariant systems with real parameteric uncertainty. It is shown that arbitrarily accurate upper and lower bounds on the optimal "robustness margin" can be obtained by finite-dimensional convex optimization. The upper bound is based on a new duality result for a generalized interpolation problem.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
