A methodology for designing congestion controllers, based on active queue management (AQM), is presented here. The congestion control law is derived using sampled-data H systems theory. More precisely, a sampled-data state feedback that guarantees the stability of the closed-loop system and satisfies a H disturbance attenuation level is derived here, based on sufficient conditions expressed in terms of linear matrix inequalities. The effectiveness of the developed technique is validated on two examples.
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