Title :
Robust Stabilization for a Class of Uncertain Descriptor Systems via Both Proportional and Derivative State Feedback
Author :
Tian, Hui ; Hou, Yangfang
Author_Institution :
Sch. of Math. & Inf. Sci., Henan Polytech. Univ., Jiaozuo, China
Abstract :
Firstly, the problem of robust stability is studied for a class of descriptor systems with structured uncertainties, whose nominal systems are normalizable. With linear matrix inequality (LMI), the equivalent existence condition of both proportional and derivative (P-D) state feedback is given , which results in the optimization problem. furthermore, a necessary and sufficient condition of robust quadratic stabilization will be obtained by introducing a fictitious input and a useful lemma. Finally, based on the equivalent condition, two algorithms for robust stabilizing controller are derived by solving the corresponding LMIs.
Keywords :
PD control; linear matrix inequalities; linear systems; optimisation; robust control; state feedback; uncertain systems; LMI method; P-D control; equivalent condition; linear matrix inequality; nominal system; optimization problem; proportional-and-derivative state feedback; robust quadratic stabilization; uncertain linear descriptor system; Linear matrix inequalities; Matrix decomposition; Riccati equations; Robust control; Robust stability; Robustness; State feedback; Sufficient conditions; Symmetric matrices; Uncertainty; linear matrix inequality(LMI); proportional and derivative (P-D) state feedback; robust quadratic stabilization; uncertain linear descriptor systems;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.218