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SHORT COMMUNICATION Addendum to 'Output feedback adaptive command following and disturbance rejection for nonminimum phase uncertain dynamical systems'

机译:简短通信“非最小相位不确定动力系统的输出反馈自适应命令跟随和干扰抑制”附录

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摘要

In [1], we developed an output feedback adaptive control framework for continuous-time nonminimum phase multivariable systems for output stabilization, command following, and disturbance rejection. The approach is based on a nonminimal state space realization that generates an expanded set of states using filtered inputs and filtered outputs, and their derivatives, of the original system. Specifically, a direct adaptive controller for the nonminimal state space model is constructed using the expanded states of the nonminimal realization. The results in Section 2 of [1] present a novel nonminimal state space realization architecture for continuous-time, linear multivariable uncertain dynamical systems. However, though the results in Sections 3 and 4 of [1] are correct in terms of guaranteeing that the error state e(t)=~△Xf(t) —x_m(t) converges to zero asymptotically, where X_f(t) is the state of the nonminimal state space realization of (11) and (12), and x_m(t) is the state vector of the modified reference model (47), they, unfortunately, do not solve the output stabilization, command following, and disturbance rejection problem for an a priori given reference system. Rather, as stated in Theorems 3.1 and 4.1 of [1], command
机译:在[1]中,我们为连续时间非最小相位多变量系统开发了输出反馈自适应控制框架,以实现输出稳定,命令跟随和干扰抑制。该方法基于非最小状态空间实现,该状态空间使用原始系统的滤波后的输入和滤波后的输出及其派生来生成一组扩展的状态。具体地,使用非最小实现的扩展状态构造用于非最小状态空间模型的直接自适应控制器。 [1]第2节中的结果提出了一种用于连续时间,线性多变量不确定动力系统的新型非最小状态空间实现架构。但是,尽管[1]的第3节和第4节中的结果在保证误差状态e(t)=〜△Xf(t)-x_m(t)渐近收敛到零的情况下是正确的,其中X_f(t)是(11)和(12)的非最小状态空间实现的状态,并且x_m(t)是修改后的参考模型(47)的状态向量,不幸的是,它们不解决输出稳定问题,命令遵循,和先验给定参考系统的干扰抑制问题。相反,如[1]的定理3.1和4.1所述,命令

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  • 作者

    WassimM. Haddad;

  • 作者单位

    School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150, U.S.A.;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-18 01:01:19

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