Generalized pole-placement self-tuning controller Part 1, Basic algorithm

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 of the controlled autoregressive moving average form. The generalized pole-placement (GPP) algorithm has advantages over standard pole-placement...

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Published in:International journal of control 1987-08, Vol.46 (2), p.547-568
Main Authors: LELIĆ, M. A., ZARROP, M. B.
Format: Article
Language:English
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container_title International journal of control
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description 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 of the controlled autoregressive moving average form. The generalized pole-placement (GPP) algorithm has advantages over standard pole-placement self-tuners in having a set of tuning knobs for improving transient response and overall control performance. The GPP is particularly suitable for programmed control in which future set-point values are known.
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title Generalized pole-placement self-tuning controller Part 1, Basic algorithm
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