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Model reference adaptive control of multivariable plants with unknown interactor matrix

机译:未知互动仪矩阵多变量植物的模型参考自适应控制

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A stable model reference adaptive control (MRAC) scheme is presented for multivariable plants with unknown interactor matrix. A new parametrization of the controller structure is developed by using the knowledge of only the upper bound on the maximum degree of the interactive matrix of the plant transfer matrix. A modified estimation error is introduced in the adaptive law for updating the controller parameters. By estimating a set of extra parameters and projecting some of the estimated parameters onto a certain region in the parameter space, the MRAC scheme guarantees that all signals in the adaptive system are uniformly bounded and the tracking error goes to zero asymptotically with time. A complete stability analysis is given based on a unified theoretical framework.
机译:为具有未知互动器矩阵的多变量植物提出了一种稳定的模型参考自适应控制(MRAC)方案。通过使用植物传递矩阵的交互式矩阵的最大程度的最大程度的上限,开发了控制器结构的新参数化。在适应法中引入了修改的估计误差以更新控制器参数。通过估计一组额外的参数并将一些估计的参数投影到参数空间中的某个区域上,MRAC方案保证了自适应系统中的所有信号都是均匀的界限,并且跟踪误差随时间渐近零点。基于统一的理论框架给出了完全稳定性分析。

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