Spatiotemporal adaptive state feedback control of a linear parabolic partial differential equation

被引:7
|
作者
Wang, Jun-Wei [1 ,3 ]
Wang, Jun-Min [2 ]
机构
[1] Univ Sci & Technol Beijing, Sch Intelligence Sci & Technol, Beijing, Peoples R China
[2] Beijing Inst Technol, Sch Math & Stat, Beijing, Peoples R China
[3] Univ Sci & Technol Beijing, Sch Intelligence Sci & Technol, Beijing 100083, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
adaptive control; asymptotic stabilization; distributed parameter systems; piecewise control in space; BOUNDARY CONTROL; STABILIZATION; PDE; SYSTEMS;
D O I
10.1002/rnc.6599
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 article deals with the issue of asymptotic stabilization for a linear parabolic partial differential equation (PDE) with an unknown space-varying reaction coefficient and multiple local piecewise uniform control. Clearly, the unknown reaction coefficient belongs to a function space. Hence, the fundamental difficulty for such issue lies in the lack of a conceptually simple but effective parameter identification technique in a function space. By the Lyapunov technique combined with a variant of Poincare-Wirtinger inequality, an update law is derived for estimate of the unknown reaction coefficient in a function space. Then a spatiotemporal adaptive state feedback control law is constructed such that the estimate of the unknown coefficient is bounded and the closed-loop PDE is asymptotically stable in the sense of spatial Script capital H-1 norm if a sufficient condition given in terms of space-time varying linear matrix inequalities (LMIs) is fulfilled for the estimated coefficient and the control gains. Both analytical and numerical approaches are proposed to construct a feasible solution to the space-time varying LMI problem. With the aid of the semigroup theory, the well-posedness and regularity of the closed-loop PDE is also analyzed. Moreover, two extensions of the proposed adaptive control scheme are discussed: the PDE in N-D space and the PDE with unknown diffusion and reaction coefficients. Finally, numerical simulation results are presented to support the proposed spatiotemporal adaptive control design.
引用
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页码:3850 / 3873
页数:24
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