Robustness in the Graph Topology of a Common Adaptive Controller
Robustness in the Graph Topology of a Common Adaptive Controller
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通用自适应控制器图拓扑的鲁棒性
DOI:
10.1137/0506336371
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发表时间:
2006
期刊:
影响因子:
--
通讯作者:
E. Ryan
中科院分区:
文献类型:
--
作者:
M. French;A. Ilchmann;E. Ryan
For any $m$-input, $m$-output, finite- dimensional, linear, minimum-phase plant $P$ with first Markov parameter having spectrum in the open right half complex plane, it is well known that the adaptive output feedback control $C$, given by $u=-ky,\ \dot k= \|y\|^2$, yields a closed- loop system $[P,C]$ for which the state converges to zero, the signal $k$ converges to a finite limit, and all other signals are of class $L^2$. It is first shown that these properties continue to hold in the presence of $L^2$-input and $L^2$-output disturbances. Working within the conceptual framework of the nonlinear gap metric approach to robust stability, and by establishing gain function stability of an appropriate closed-loop operator, it is proved that these properties also persist when the plant $P$ is replaced with a stabilizable and detectable linear plant $P_1$ within a sufficiently small neighborhood of $P$ in the graph topology, provided that the plant initial data and the $L^2$ magnitude of the disturbances are sufficiently small. Example 9 of Georgiou and Smith [IEEE Trans. Automat. Control, 42 (1997), pp. 1200-1221] is revisited. Unstable behavior for large initial conditions and/or large $L^2$ disturbances is shown, demonstrating that the bounds obtained from the $L^2$ theory are qualitatively tight: this contrasts with the $L^\infty$-robustness analysis of Georgiou and Smith, which is insufficiently tight, to predict the stable behavior for small initial conditions and zero disturbances.