Control synthesis of reaction-diffusion systems with varying parameters and varying delays

被引:2
作者
Cao, Guoyan [1 ]
Grigoriadis, Karolos M. [2 ]
Liu, Puchen [3 ]
机构
[1] Northwestern Polytech Univ, Sch Cybersecur, 127 West Youyi Rd, Xian 710072, Shaanxi, Peoples R China
[2] Univ Houston, Mech Engn, Houston, TX USA
[3] Shanghai Polytech Univ, Coll Arts & Sci, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
LPV control synthesis; reaction-diffusion systems; delayed system with varying parameters; blood pressure regulation; Friedrichs' inequality; EXPONENTIAL ROBUST STABILITY; NEURAL-NETWORKS; SPATIAL GRADIENTS; LPV SYSTEMS;
D O I
10.1080/00207721.2021.1929555
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 paper, the analysis and state-feedback control synthesis for reaction-diffusion linear parameter-varying (LPV) systems with time delays and Robin boundary conditions are addressed. We explore the stability and L-2 gain performance for reaction-diffusion LPV systems using parameter-dependent Lyapunov functionals. Both analysis and synthesis conditions are formulated in terms of linear matrix inequalities (LMIs) that can be solved via efficient convex optimisation solvers. A numerical example of automated blood pressure regulation via vasoactive drug infusion is explored to demonstrate the effectiveness of the proposed state-feedback control synthesis.
引用
收藏
页码:3451 / 3465
页数:15
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