A stable adaptive implementation of the internal model principle

Feng G.; Palaniswami M.

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A stable adaptive implementation of the internal model principle

机译：内模型原理的稳定自适应实现

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摘要

An adaptive implementation of the internal model principle for linear time-invariant systems that allows for rejection of unknown deterministically modeled disturbances is provided. The minimal representation of the system model is used for parameter estimation, and the global convergence and stability of the algorithm are investigated with unmodeled dynamics. With proper modification of the parameter estimation algorithm, global convergence and stability for the algorithm are obtained without the requirement of persistent excitation. Some simulation results are given to support the analysis.

机译：提供了线性时不变系统的内部模型原理的自适应实现，可以拒绝未知的确定性建模干扰。系统模型的最小表示用于参数估计，并利用未建模的动力学研究了算法的全局收敛性和稳定性。通过适当修改参数估计算法，无需持久激励即可获得算法的全局收敛性和稳定性。给出了一些仿真结果以支持分析。

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《IEEE Transactions on Automatic Control》 |1992年第8期|P.1220-1225|共6页
作者
Feng G.; Palaniswami M.;
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正文语种 eng
中图分类自动化系统;
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A stable adaptive implementation of the internal model principle

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