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自动化学报 1993
A Multivariable Self-Optimization Pole Assigment Self-Tuning Controller
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Abstract:
This paper presents a multivariable self-optimization pole assignment self-tuning control algorithm. It can automatically search closed-loop poles and be located on appropriate positions in the allowable scale of control measure. This algorithm not only avoids the pre-determination of the closed-loop pole position, but also implements optimization control while keeping robustness of the pole placement.