@inproceedings{53fcc58c3b5a42dca251fdb57a90bc64,
title = "Asymptotically tracking in matrix second-order dynamical system framework",
abstract = "Model reference asymptotically tracking for a class of second-order dynamical systems in matrix second-order framework is investigated in this paper. A controller is used, which is composed of two parts: one is a state plus derivative feedback stabilizing controller, the other is a compensator, which compensates the effect of the reference model state to the tracking error. Based on a complete parametric solution to a class of second-order Sylvester matrix equations, the controller gains are completely parameterized. The original system data is directly used in the approach, and physical insight of the original problem is preserved. In the end a numerical example is given, and the simulations show the effect of the proposed parametric method.",
keywords = "Eigenstructure assignment, Model reference, Output tracking, Parametric method, Second-order dynamical systems",
author = "Ling Huang and Duan, \{Guang Ren\}",
year = "2005",
doi = "10.1109/ICMLC.2005.1527141",
language = "英语",
isbn = "078039092X",
series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
publisher = "IEEE Computer Society",
pages = "1285--1290",
booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
address = "美国",
note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",
}