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We adopt the stochastic fluid modeling framework for management and control of communication networks and attempt to explicitly model feedback controlled sources. Specifically, the inflow process consists of a feedback controlled source which is modelled as a hybrid automaton (it has both, time-driven as well as event-driven dynamics). This paper derives infinitesimal perturbation analysis (IPA) derivative estimators for the buffer occupancy and throughput with respect to a node parameter (i.e., the buffer size). As also shown in earlier work [C.G. Cassandras et al., 2002], [C. Cassandras et al., 2003], [G. Sun et al., 2004], such estimators are used together with stochastic approximation techniques to dynamically determine the optimal operating point.