On Disturbance Attenuation Properties of Control

In this note we analyse the (local) disturbance attenuation properties of some asymp-totically stabilizing nonlinear controllers for Euler-Lagrange systems reported in the literature. Our objective with this study is twofold: rst, to compare the performance of these schemes from a perspective diierent from stabilizability; second, to quantify the basic tradeoo between robust stability and robust performance for these designs. We consider passivity-based and feedback linearization schemes developed for the control of DC-to-DC converters and rigid robots. For the DC-to-DC problem we show that for both controllers there exists a lower bound to the achievable attenuation level, i.e. a lower bound to the L 2-gain of the closed loop operator from disturbance to regulated output, which is independent of the design parameters. Also, for the passivity based scheme we obtain an upper bound for the disturbance attenuation, which is insured provided we sacriice the convergence rate. For rigid robots we show that both approaches yield arbitrarily good disturbance attenuation without compromising the convergence rate. The results are veriied and analysed for the DC-to-DC converter in an experimental setup .