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An approach to the robust SPR problem through interpolation and avoidance: connections with the robust stability problem

机译:通过插值和规避来解决鲁棒SPR问题的方法:与鲁棒稳定性问题的联系

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Convergence of a number of adaptive recursive algorithms, with applications in identification and adaptive control, can be ensured by making a given transfer function strictly positive real (SPR). In some situations a partial knowledge of the system under study is available, thus becoming a robustness problem. In this paper we trace important connections between the classical problem of robust stability and the robust strict positive realness problem, which will allow one to design procedures for solving the robust SPR problem in several different cases.
机译:通过使给定的传递函数严格正真(SPR),可以确保具有识别和自适应控制的许多自适应递归算法的收敛性。在某些情况下,可以获得正在研究的系统的部分知识,从而成为稳健性问题。在本文中,我们追溯了稳健稳定性的经典问题与强大的严格正实现实问题之间的重要联系,这将使人们能够在几种不同情况下解决鲁棒SCR问题的程序。

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