Relative zero location for second-order sampled systems

El-Khoury, M.; Crisalle, O.D.

doi:10.1109/9.256380

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…We present a necessary and sufficient condition for the solvability of the model transforma-tion problem. Unlike the previous results (Söderström, 1990;El-Khoury and Crisalle, 1992), our result is valid for multivariable processes of any order. It is further shown that the solution to the model conversion problem is unique if it exists.…”

Section: Introductioncontrasting

confidence: 59%

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On the Reconstruction of Continuous-Time Models From Estimated Discrete-Time Models of Stochastic Processes

Mahata

2006

IFAC Proceedings Volumes

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Section: Introductioncontrasting

confidence: 59%

“…Several authors have investigated the conditions on the solvability. An analysis for SISO second order process is given in (Söderström, 1990;El-Khoury and Crisalle, 1992). See also (Wahlberg, 1988) for a discussion on sampling zeros.…”

Section: Preliminariesmentioning

confidence: 99%

On the Reconstruction of Continuous-Time Models From Estimated Discrete-Time Models of Stochastic Processes

Mahata

2006

IFAC Proceedings Volumes

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Analytical design of stable delta‐domain generalized predictive control

Suchomski

Kowalczuk

2002

Optim Control Appl Methods

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SUMMARYThis paper addresses certain fundamental issues related to the discrete-time design problem of the deltadomain generalized predictive control (d-GPC) for both minimum phase and non-minimum phase linear SISO plants including nominal stability and nominal performance of the closed-loop system. The approach being presented is completely analytical, and the nominal performance of the control system is directly achieved by a prototype design of the closed-loop system characteristics resulting in definite time-domain specifications. Two design methods are offered in which a model-based prediction paradigm is applied to achieve the future output and the future filtered output trajectory of the plant. Prediction of the first type is based on suitable emulations of the output d-derivatives and is used in the GPC controller design for minimum-phase models of the plant. Prediction of the second type utilizes emulation of derivatives of the output filtered by the numerator polynomial of the transfer function of the controlled part of the plant. It can be employed both for minimum phase and non-minimum phase plants. A numerical example is given that illustrates the d-GPC method for controller design.

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On the indirect approaches for CARMA model identification

Mahata

2007

Automatica

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Relative zero location for second-order sampled systems

Cited by 5 publications

References 18 publications

On the Reconstruction of Continuous-Time Models From Estimated Discrete-Time Models of Stochastic Processes

On the Reconstruction of Continuous-Time Models From Estimated Discrete-Time Models of Stochastic Processes

Analytical design of stable delta‐domain generalized predictive control

On the indirect approaches for CARMA model identification

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