Title :
Stability and stabilization for quadratic systems with state saturation nonlinearities
Author :
Chen, Fu ; Xu, Shengyuan
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
This paper develops stability and stabilization results for a class of quadratic systems with state saturation nonlinearities. Based on the introduction of a row diagonally dominant matrix with negative diagonal elements and a particular representation for quadratic terms, sufficient conditions for stability and stabilization of quadratic systems with state saturation nonlinearities are derived in terms of a “quasi”-linear matrix inequality (LMI) form. Iterative LMI algorithms then are presented for checking global asymptotic stability and stabilization of the system. Numerical examples are provided to demonstrate the effectiveness of the proposed approach.
Keywords :
asymptotic stability; control nonlinearities; iterative methods; linear matrix inequalities; nonlinear control systems; global asymptotic stability; iterative LMI algorithm; negative diagonal elements; quadratic system stabilization; quasilinear matrix inequality; row diagonally dominant matrix; state saturation nonlinearities; sufficient conditions; Asymptotic stability; Linear matrix inequalities; Numerical stability; Stability criteria; Symmetric matrices; Vectors; LMI; Quadratic systems; Stability; Stabilization; State saturation;
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.2012.6358066