Robust normalization and stabilization of descriptor fractional-order systems with polytopic uncertainties in all matrices

被引:0
|
作者
Luo, Siyou [1 ,2 ]
Lu, Jun-Guo [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[2] Minist Educ China, Key Lab Syst Control & Informat Proc, Shanghai, Peoples R China
关键词
descriptor system; fractional-order system; normalization; polytopic uncertainty; stabilization; LINEAR-SYSTEMS; EPIDEMIC MODEL; TIME; STABILITY;
D O I
10.1002/asjc.3224
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper addresses the robust normalization and stabilization problems for descriptor fractional-order systems with polytopic uncertainties in all system coefficient matrices, including the state derivative coefficient matrix. Firstly, novel sufficient conditions for the robust normality and stability of polytopic uncertain descriptor fractional-order systems are presented based on linear matrix inequalities. Then, for the cases when the uncertain parameters are known and unknown, the proportional and derivative state feedback control with constant feedback gain and parameter-dependent feedback gain are introduced to normalize and stabilize such systems, respectively. Finally, numerical examples are provided to show that the proposed approach is effective and less conservative than the results obtained by other researchers.
引用
收藏
页码:906 / 916
页数:11
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