title: Design and analysis of a model predictive controller for active queue management.
abstract: Model predictive (MP) control as a novel active queue management (AQM) algorithm in dynamic computer networks is proposed. According to the predicted future queue length in the data buffer, early packets at the router are dropped reasonably by the MPAQM controller so that the queue length reaches the desired value with minimal tracking error. The drop probability is obtained by optimizing the network performance. Further, randomized algorithms are applied to analyze the robustness of MPAQM successfully, and also to provide the stability domain of systems with uncertain network parameters. The performances of MPAQM are evaluated through a series of simulations in NS2. The simulation results show that the MPAQM algorithm outperforms RED, PI, and REM algorithms in terms of stability, disturbance rejection, and robustness.
authors.affiliation: Department of Control Science and Engineering, Jilin University, Campus NanLing, 130025 Changchun, PR China. wangping08@mails.jlu.edu.cn
authors.forename: Ping
authors.initials: P
authors.lastname: Wang
authors.forename: Hong
authors.initials: H
authors.lastname: Chen
authors.forename: Xiaoping
authors.initials: X
authors.lastname: Yang
authors.forename: Yan
authors.initials: Y
authors.lastname: Ma
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004867:Equipment Design; D005544:Forecasting; D007221:Industry / Q000295:instrumentation*; D016014:Linear Models; D011897:Random Allocation; D015203:Reproducibility of Results; D012984:Software; D035501:Uncertainty