Multivariable MRAC Design Without Gain Symmetry Conditions Using a Stabilizing Multiplier

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Multivariable MRAC Design Without Gain Symmetry Conditions Using a Stabilizing Multiplier

机译：使用稳定乘数的无增益对称条件的多变量MRAC设计

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A new multivariable MRAC design for plants of arbitrary relative degree, which does not require a stringent symmetry assumption related with the plant high frequency gain matrix, is presented. In contrast to previous results, the new solution does not involve additional parametrization and filtering, being thus close in structure and complexity to conventional solutions. Instead of the fragile symmetry assumption, a less restrictive and robust condition is required, which can be achieved using a multiplier.

机译：提出了一种新的针对任意相对程度的植物的多变量MRAC设计，该设计不需要与植物高频增益矩阵相关的严格对称性假设。与以前的结果相反，新解决方案不涉及额外的参数化和滤波，因此其结构和复杂性与常规解决方案非常接近。不需要脆弱的对称性假设，而是需要使用较少的限制和鲁棒的条件，这可以使用乘数来实现。

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《IEEE Transactions on Automatic Control》 |2014年第4期|1041-1047|共7页
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正文语种 eng
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关键词
Arbitrary relative degree; mimo adaptive control; multivariable adaptive control; output feedback; stabilizing multiplier; uncertain systems;

机译：任意相对度;mimo自适应控制;多变量自适应控制;输出反馈;稳定乘数;不确定系统;

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专利

1. A ROBUST MRAC USING VARIABLE STRUCTURE DESIGN FOR MULTIVARIABLE PLANTS [J] . Chien CJ., Wu AC., Fu LC., Automatica . 1996,第6期

机译：基于可变结构设计的多变量植物鲁棒MRAC
2. Strong stabilization with infinite multivariable gain margin through linear periodic control [J] . Galeani S, Grasselli OM, Menini L International Journal of Control . 2004,第5期

机译：通过线性周期控制具有无限多变量裕度的强大稳定性
3. Multivariable Binary MRAC with Guaranteed Transient Performance Using Non-homogeneous Robust Exact Differentiators [J] . Battistel Andrei, Vidal Paulo V. N. M., Nunes Eduardo V. L., Journal of control, automation and electrical systems . 2021,第2期

机译：多变量二进制MRAC使用非均质强大的确切差异化具有保证的瞬态性能
4. Direct multivariable MRAC design without gain symmetry conditions [C] . Hsu, Liu, Battistel, American Control Conference . 2013

机译：直接多变量MRAC设计，无需增益对称条件
5. On-line steady-state gain identification for on-line optimization of multivariable constrained chemical processes. [D] . Chitnis, Umesh Kishore. 1996

机译：在线稳态增益识别，用于多变量约束化学过程的在线优化。
6. Learning from data to design functional materials without inversion symmetry [O] . Prasanna V. Balachandran, Joshua Young, Turab Lookman, -1

机译：从数据中学习以设计功能材料而无需反对称
7. Partial-state feedback multivariable MRAC and reduced-order designs [O] . Ge Song, Gang Tao 2021

机译：部分状态反馈多变量MRAC和缩小订单设计
8. Gain Selection for an Independent Joint MRAC (Model-Reference Adaptive Controller) for Robotic Manipulators [R] . Jansen, J. F. , Kress, R. L. 1988

机译：用于机器人操纵器的独立联合mRaC（模型参考自适应控制器）的选择

Multivariable MRAC Design Without Gain Symmetry Conditions Using a Stabilizing Multiplier

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