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In this paper, aperiodic control of linear discrete-time systems subject to bounded additive disturbances is considered. We present a framework for event- and self-triggered controllers that achieve the same worst-case bounds on the system state (up to a predefined factor, which is a design parameter) as a given linear controller that is updated at every point in time. We demonstrate in an example...
This paper deals with model order reduction for linear stable discrete-time systems while minimizing the lscrinfin-gain of the error system. Our approach considers explicitly time domain performance and not frequency domain performance like most other approaches do. A convex programming problem expressed in terms of linear matrix inequalities combined with a line search algorithm is formulated to...
This paper presents a computational approach for analyzing the robust linfin-gain (or the robust l1 performance) of uncertain linear systems with parametric uncertainties. The method considers the class of systems where the state-space matrices may have a rational dependence on structured parametric time-invariant or time-varying uncertainties. The computation is based on robust semi-definite programming...
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