Title :
Stability Analysis for Spatially Distributed Dynamic Systems
Author_Institution :
Tsinghua Univ., Beijing
Abstract :
In this paper, a sufficient condition is derived for the stability of a spatially invariant distributed dynamical (SIDD) system, based on the geometrical structure of the null space of a matrix polynomial. This condition is less conservative than the available computationally feasible criteria. Moreover, using the idea of parameter dependent linear matrix inequalities (LMI), a necessary and sufficient condition is obtained. Both of these two conditions are expressed by LMIs, and can therefore in principle be computationally verified. While the necessity of the latter condition is lost if the degree of the related multivariate matrix polynomials is small, its conservatism can be sequentially reduced through increasing this degree step by step.
Keywords :
linear matrix inequalities; stability; linear matrix inequalities; multivariate matrix polynomial; spatially distributed dynamic system; spatially invariant distributed dynamical system; stability analysis; Automation; Control system synthesis; Control systems; Linear matrix inequalities; Null space; Polynomials; Stability analysis; Stability criteria; State-space methods; Sufficient conditions; Linear matrix inequality; Multivariate matrix polynomial; Parameter dependent LMI; Spatially distributed dynamic system; Stability;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347196