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Adaptive neural practically finite-time congestion control for TCP/AQM network.
- Source :
-
Neurocomputing . Jul2019, Vol. 351, p26-32. 7p. - Publication Year :
- 2019
-
Abstract
- Inspired by the prescribed performance control (PPC), a new performance function, called finite-time performance function (FTPF), is first defined in this paper, by which a novel finite-time control design process is introduced. This work is also the first to solve the finite-time control issue for a class of transmission control protocol/active queue management (TCP/AQM) networks. Meanwhile, with the aid of FTPF, PPC and neural networks, a new adaptive practically pre-assigned finite-time controller is designed, which guarantees that the queue length q (t) tracks the desired queue q ref in finite-time and all the signals of the closed-loop system are semi-globally practical finite-time stable (SGPFS). Finally, simulation results are shown to illustrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]
- Subjects :
- *TCP/IP
*CLOSED loop systems
*ARTIFICIAL neural networks
Subjects
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 351
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 136416983
- Full Text :
- https://doi.org/10.1016/j.neucom.2019.03.022