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.