Title :
Quadratically stabilizing observer-based controller design for LPV plant
Author_Institution :
Coll. of Autom. Sci. & Technol., South China Univ. of Technol., Guangzhou, China
Abstract :
This paper presents a new quadratic stability-preserving state-space realization and quadratically stabilizing observer-based controller design for Linear Parameter Varying (LPV) plant, which is combined with a set of local vertex LTI plants. A two-step procedure is taken to design a quadratically stabilizing observer-based controller for LPV plant. First, according to the stabilizabilities of local LTI plants, state-feedback gain matrices and Lyapunov matrices could be solved for these local plants with linear matrix inequality technique, independently. With these Lyapunov matrices, a proper state space realization of LPV plant is provided. Second, based on the state space realization, a quadratically stabilizing observer-based controller is obtained.
Keywords :
Lyapunov methods; control system synthesis; linear matrix inequalities; linear systems; nonlinear control systems; observers; stability; state feedback; state-space methods; LPV plant; Lyapunov matrices; linear matrix inequality technique; linear parameter varying plant; local vertex LTI plants; nonlinear system; quadratic stability-preserving state-space realization; quadratically stabilizing observer-based controller design; state-feedback gain matrices; Aerospace electronics; Bismuth; Control systems; Interpolation; Linear matrix inequalities; Lyapunov methods; Stability analysis; Gain scheduling; Linear matrix inequality; Linear parameter varying system;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358039