Robust linear quadratic designs with real parameter uncertainty

Analysis of Robust Parameter Designs

Robust Linear Quadratic Control of Systems with Integral Quadratic Constraints

In this paper, we consider the robust linear quadratic (LQ) control problem for a class of uncertain linear systems which are subject to a general type of integral quadratic constraints (IQCs). Both analysis and synthesis problems are considered in this paper. For the analysis problem, we determine if the system satisses a desired linear quadratic performance index for all admissible uncertaint...

Robust Quadratic Assignment Problem with Uncertain Locations

 We consider a generalization of the classical quadratic assignment problem, where coordinates of locations are uncertain and only upper and lower bounds are known for each coordinate. We develop a mixed integer linear programming model as a robust counterpart of the proposed uncertain model. A key challenge is that, since the uncertain model involves nonlinear objective function of the ...

Robust Designs For Fitting Linear

This paper considers linear models with misspeciication of the form f(x) = E(yjx) = P p j=1 j g j (x) + h(x), where h(x) is an unknown function. We assume that the true response function f comes from a reproducing kernel Hilbert space and the estimates of the parameters j are obtained by the standard least squares method. A sharp upper bound for the mean squared error is found in terms of the n...

Robustness under Real Parameter Uncertainty