Title :
Asymptotically tracking in matrix second-order dynamical system framework
Author :
Huang, Ling ; Duan, Guang-Ren
Author_Institution :
Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol., China
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 :
compensation; control system synthesis; feedback; matrix algebra; model reference adaptive control systems; stability; tracking; compensator; controller gain; derivative feedback stabilizing controller; eigenstructure assignment; model reference asymptotically tracking; output tracking; parametric method; second-order Sylvester matrix equation; second-order dynamical system; Control system synthesis; Control systems; Control theory; Electronic mail; Equations; Error correction; MIMO; Robot control; Robust control; State feedback; Second-order dynamical systems; eigenstructure assignment; model reference; output tracking; parametric method;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527141