A new methodology for constructing convex optimization models called disciplined convex
programming is introduced. The methodology enforces a set of conventions upon the …

This paper investigates the problem of robust H infin estimation for uncertain systems
subject to limited communication capacity. The parameter uncertainty belongs to a given …

The output-feedback stabilisation problem is solved for discrete-time systems with time-
varying delay in the state. A stability condition is first proposed, which is dependent on the …

A delay-dependent approach to robust H/sub/spl infin//filtering is proposed for linear discrete-
time uncertain systems with multiple delays in the state. The uncertain parameters are …

This paper deals with a new filtering problem for linear uncertain discrete-time stochastic
systems with randomly varying sensor delay. The norm-bounded parameter uncertainties …

This paper is concerned with the problem of event-based H∞ filtering for networked systems
with communication delay (or signal transmission delay). We first propose a novel event …

The problem of designing a globally optimal full-order output-feedback controller for
polytopic uncertain systems is known to be a non-convex NP-hard optimization problem, that …

This paper investigates the H∞ filtering problem for a class of general nonlinear stochastic
systems considering model uncertainties and random time delays governed by Markov …

This paper investigates the problem of robust fault detection for uncertain systems with
missing measurements. The parameter uncertainty is assumed to be of polytopic type, and …

A robust delay-dependent H/sub/spl infin//filtering design is proposed for linear continuous
systems with parameter uncertainty and time-varying delay. The resulting filter is of the …