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Your search keyword '"Azadegan, Masoumeh"' showing total 13 results
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13 results on '"Azadegan, Masoumeh"'

12. Design of proportional-derivative-type state feedback controllers for congestion control of transmission control protocol networks.

Author

Azadegan, Masoumeh, Beheshti, Mohammad T.H., and Tavassoli, Babak

Subjects
*FEEDBACK control systems, *PID controllers, *TRAFFIC congestion, *TCP/IP, *WINDOWS (Graphical user interfaces), *SCHEME programming language
Abstract

A new proportional-derivative-type state feedback controller is proposed for congestion control of transmission control protocol (TCP) networks. An analytical TCP model is adopted. In the proposed control scheme, it is possible to efficiently control the TCP traffic using only the queue length at the router without the need to know the TCP window size which is not available locally. The results are presented in terms of delay-dependent linear matrix inequality. The proposed method is verified by simulation examples using NS software, and the effectiveness and superiority of our method over other control schemes, such as the proportional-integral, random early detection and generalised minimum variancemethods, are also shown. [ABSTRACT FROM AUTHOR]

Published
2015
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13. Output feedback control of networked control systems with random time delay.

Author

Azadegan, Masoumeh and Beheshti, Mohammad T. H.

Abstract

This paper deals with the mode-dependent static output feedback stabilization problem of linear networked control systems (NCSs) with the effect of the network-induced time delays. The overall delays induced by communication channel are modeled as a Markov chain which is believed to be an ideal model of random time delay. The resulting closed-loop system is transformed to a Markovian jump linear system (MJLS) with mode-dependent delay. Based on the Lyapunov-Krasovskii functional technique, a new delay dependent stability criteria for the networked control system is derived and a mode-dependent output feedback controller is designed. The results are formulated in terms of linear matrix inequalities (LMIs). Output feedback gain can then be derived by using the feasible solution of LMIs. A simulation example is given finally to demonstrate the feasibility and effectiveness of the proposed approach. [ABSTRACT FROM PUBLISHER]

Published
2011
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