Finite Time Convergence Parameter Estimator for Nonlinear MIMO System*

D. Bazylev, S. Vrazhevsky
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Abstract

In this paper, we present a finite time convergence (FTC) parameter estimator for a class of non-linear MIMO systems. The designed FTC estimator is based on a continuous-time parameter identification algorithm that was recently proposed by the authors. Compared to the previous solution the new modified estimator doesn’t require the unobvious to achieve in practice assumptions imposed on regression functions to ensure guaranteed convergence. As a practical example, we use a “Twin Rotor MIMO System” laboratory bench which model is given by a nonlinear multi-channel system with cross-couplings. Significant improvement of the transient behavior for the new parameter estimator is demonstrated via representative simulation results.
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非线性MIMO系统的有限时间收敛参数估计*
本文给出了一类非线性MIMO系统的有限时间收敛参数估计。所设计的FTC估计器基于作者最近提出的连续时间参数识别算法。与以前的解决方案相比,新的改进估计量不需要在实践中实现对回归函数施加的不明显假设,以确保收敛性。作为一个实际的例子,我们使用了一个“双转子MIMO系统”实验平台,该模型是由一个非线性多通道交叉耦合系统给出的。通过具有代表性的仿真结果证明了新参数估计器在瞬态性能上的显著改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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