This paper presents a computation method for pole assignment with eigenvalu
e and stability robustness. The robustness measure is constructed to balanc
e the tradeoff between an eigenvalue sensitivity measure and a stability ro
bustness measure, both defined in terms of the non-differentiable spectral
norm. It is established that the robustness measure can be minimized asympt
otically via a sequence of smooth unconstrained minimizations involving som
e auxiliary objective functions. Moreover, the sequence of minimizers conve
rges to the set of minimizers of the robustness measure. A numerical algori
thm with analytical formulae of the gradient of the auxiliary objective fun
ctions is provided. Through a numerical example and comparing with other me
thods, the idea of using a combined robustness measure in the design is ill
ustrated and the effectiveness of the computation is demonstrated.