The development of model quality bounds for frequency domain and time domain models

Cluett, William R.; Wang, L.; Zivkovic, A.

doi:10.1109/acc.1994.752435

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Cited by 2 publications

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“…Although the specification of appropriate uncertainty weights is a subject of current research, insight into practical procedures is given in a number of recent publications (see, for example, Latchman and Crisalle, 1995;Cluett et al, 1994;Kuong and MacGregor, 1993). Three controllers are designed: (1) a nominal predictive controller (NPC); (2) a robust predictive controller (RPC); and (3) a robust predictive controller with integral action (RPCI).…”

Section: Examplementioning

confidence: 99%

Robust unconstrained predictive control design with guranteed nominal performance

1996

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Section: Examplementioning

confidence: 99%

Robust unconstrained predictive control design with guranteed nominal performance

1996

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A more efficient way to estimate step response coefficients using the FSF model

Wang

Cluett

Proceedings of 1994 American Control Conference - ACC '94

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A b s t r a c t This paper describes a more efficient approach to estimating an impulse or step response model of a linear system which involves first obtaining its frequency response using the frequency sampling filter (FSF) model. We show that the FSF model has an effective or true model order which is in general lower than that of its time domain counterparts, particularly in a fast sampling environment.

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The development of model quality bounds for frequency domain and time domain models

Cited by 2 publications

References 5 publications

Robust unconstrained predictive control design with guranteed nominal performance

Robust unconstrained predictive control design with guranteed nominal performance

A more efficient way to estimate step response coefficients using the FSF model

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