Title :
Static Output Feedback Robust Stabilization a Gradient Iterative LMI Approach
Author :
Zou, Dongsheng ; She, Longhua ; Chang, Wensen
Author_Institution :
Dept. of Mechatron. Eng. & Autom., Nat. Univ. of Defence Technol., Changsha, China
Abstract :
In order to see whether a linear system with ill-conditioned state matrix can be stabilized by static output feedback, by modifying the iterative linear matrix inequality (ILMI) algorithm, a gradient ILMI algorithm is proposed, which used the linear system matrix condition number as the termination term of iteration. Given certain closed loop system robust requirement, the new algorithm can get the maximum degree of stability and give clearly out the feedback gain matrix. Finally, those two algorithms used, the effects are contrasted that the numbers of output feedback variables have on the magnetic levitation control system.
Keywords :
closed loop systems; feedback; gradient methods; iterative methods; linear matrix inequalities; linear systems; magnetic levitation; robust control; closed loop system; feedback gain matrix; gradient iterative LMI approach; ill-conditioned state matrix; iterative linear matrix inequality algorithm; linear system; linear system matrix condition; magnetic levitation control system; static output feedback robust stabilization; Closed loop systems; Feedback loop; Iterative algorithms; Iterative methods; Linear matrix inequalities; Linear systems; Magnetic levitation; Output feedback; Robust stability; Robustness;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.489