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Robust adaptive control of uncertain systems with guaranteed robust stability and asymptotic performance

机译:具有不确定鲁棒稳定性和渐近性能的不确定系统的鲁棒自适应控制

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This article presents a robust adaptive control scheme for a discrete-time plant that is subjected to both coprime factor perturbations and unknown exogenous disturbances. With the proposed control scheme, all the variables in the closed-loop system are bounded in the presence of the perturbations and disturbances, and an a priori computable upper bound on the size of the nonparametric dynamical uncertainty, for which stability is ensured, is provided. Moreover, one can guarantee a priori bound on the asymptotic performance of the overall adaptive system which is arbitrarily close to that of the corresponding nonadaptive control system. In addition, it is shown that the l optimal robust controller design is continuous as a map from the plant to the optimal closed-loop solution. Furthermore, if the set of plants is compact, then the l_1 optimal robust controller design is uniformly continuous on the set of plants. These properties are necessary for analysing the interplay between identification and control in the overall adaptive system.
机译:本文为离散时间工厂提出了鲁棒的自适应控制方案,该工厂同时受到互质因子扰动和未知外源干扰的影响。利用所提出的控制方案,在存在扰动和扰动的情况下限制闭环系统中的所有变量,并提供了确保稳定性的非参数动态不确定性大小的先验可计算上限。 。而且,可以保证对整个自适应系统的渐近性能的先验限制,该先验范围可以任意接近相应的非自适应控制系统的渐进性能。另外,它表明,最优鲁棒控制器设计是连续的,从工厂到最优闭环解决方案的映射图。此外,如果一组植物是紧凑的,则I_1最优鲁棒控制器设计在一组植物上是均匀连续的。这些属性对于分析整个自适应系统中识别与控制之间的相互作用是必不可少的。

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