Input-delay approach to sampled-data H∞ control of polynomial systems based on a sum-of-square analysis

被引:11
|
作者
Kim, Han Sol [1 ]
Park, Jin Bae [1 ]
Joo, Young Hoon [2 ]
机构
[1] Yonsei Univ, Sch Elect & Elect Engn, Seoul 120749, South Korea
[2] Kunsan Natl Univ, Dept Control & Robot Engn, Kunsan, South Korea
来源
IET CONTROL THEORY AND APPLICATIONS | 2017年 / 11卷 / 09期
基金
新加坡国家研究基金会;
关键词
sampled data systems; delays; H control; continuous time systems; uncertain systems; time-varying systems; Lyapunov methods; stability; input-delay approach; polynomial sampled-data control systems; H stabilisation condition; sum-of-square analysis; external disturbance; continuous-time variables; sampled state variables; mixed-states problem; time-varying uncertainty; polynomial time-dependent Lyapunov-Krasovskii functional; numerical solvers; slack variables; NONLINEAR-SYSTEMS; FUZZY CONTROL; FEEDBACK; STABILIZATION; DESIGN;
D O I
10.1049/iet-cta.2016.1037
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, the authors develop an H-infinity stabilisation condition for polynomial sampled-data control systems with respect to an external disturbance. Generally, continuous-time and sampled state variables are mixed in polynomial sampled-data control systems, which is the main drawback to numerically solving the stabilisation conditions of these control systems. To overcome this drawback, this study proposes novel stabilisation conditions that address the mixed-states problem by casting the mixed states as a time-varying uncertainty. The stabilisation conditions are derived from a newly proposed polynomial time-dependent Lyapunov-Krasovskii functional and are represented as a sum-of-squares, which can be solved using existing numerical solvers. Some additional slack variables are further introduced to relax the conservativeness of the authors' proposed approach. Finally, some simulation examples are provided to demonstrate the effectiveness of their approach.
引用
收藏
页码:1474 / 1484
页数:11
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