参考模型阶数为1的MRAS综合
Mras Synthesis Using First-Order Reference Model
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摘要: 本文应用增广误差法提出了参考模型阶数为1的MRAS综合方法,使得可调参数减少到 n+m+2个,且增广滤波器仍为一阶.此外,文中还指出当被控对象中有q+r+2个(q≤ n-1,r≤m-1)未知数时,可调参数仅为q+r+3.Abstract: By using the augmented error method, a synthesis scheme for MRAS is offered with first-order reference model. Numbers of the adjustable parameters are reduced to n+m+2, and the augmented filter is still of the first-order form. Moreover, it is showed that number of the adjustable parameters is q+r+3 (q≤n-1,r≤m) if q+ r+2 parameters in the pIant are unknown.
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