Generalized pole-placement self-tuning controller Part 1, Basic algorithm
作者： M. A. LELIĆ , M. B. ZARROP
DOI: 10.1080/00207178708933916
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摘要: Abstract A new type of self-tuning pole-placement controller is proposed based on multi-step cost function minimization and using single-input single-output models the controlled autoregressive moving average form. The generalized (GPP) algorithm has advantages over standard self-tuners in having a set tuning knobs for improving transient response overall control performance. GPP particularly suitable programmed which future set-point values are known.
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