12 research outputs found
A new class of identifiers for robust parameter identification and control in uncertain systems
Dealing with Unknown and Biased Errors in Hydrological Modeling - A Comparison of Kalman and H-infinity Filters
Adaptive controller design and disturbance attenuation for SISO linear systems with noisy output measurements and partly measured disturbances
Convergence analysis for reduced-order adaptive controller design of uncertain SISO linear systems with noisy output measurements
Worst-Case Rate-Based Flow Control with an ARMA Model of the Available Bandwidth
A central control problem that arises in High speed networks is the control of the rate of flow of information into the network. A rate that is too high may result in congestion and hence in the degradation of performance measures: high delays within the network, high loss probabilities of information packets and large delay variations; a rate that is too low may result in the under-utilization of the network and in low throughput. Most of the existing and future telecommunications networks therefore include dynamic flow control mechanisms, which have often been developed on growing available experience, using ad-hoc techniques that did not come as a result of a control-theoretical study. This is due to the high complexity of the controlled systems, that are typically decentralized, have non-linear dynamics, and may only use partial noisy delayed information. Some attempts have been made in recent years to use control theory to design flow controllers with, however, no explicit objecti..