Convex robustness specifications for real parametric uncertainty in linear systems

Considering linear systems with uncertain real parameters appearing linearly in the characteristic polynomial, we introduce a new norm for column transfer functions, measuring the maximal norm of the real part along the imaginary axis. This allows less conservative robustness specifications than the H¿, norm. In particular, we consider uncertainty in models from black box identification.