Detection of no-model input/output combinations in MIMO systems subject to noise and unmeasured disturbances

Potts, Alain Segundo; Massaro, Leandro Cuenca; Garcia, Cláudio

doi:10.1109/ecc.2014.6862308

Cited by 2 publications

(4 citation statements)

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“…Herein, an adaptation for closed-loop estimation of the method proposed in [6] was discussed. The adaptation is based on the linear correlation between the setpoints and the inputs in the MIMO models and its use is also suggested in a preidentification stage.…”

Section: Discussionmentioning

confidence: 99%

“…The method proposed in [6] is a variation of the one proposed in [9] for MIMO m × n systems and is applied to open-loop systems. The algorithm is based on two steps and it is applied in a pre-identification stage.…”

Section: The No-model Io Combination Methods For Open-loopmentioning

confidence: 99%

“…The typical purpose of this step is to provide previous information regarding system order and time delay estimation. This paper analyses the method proposed in [6], which detects no-model IO combinations for open-loop MIMO systems during the pre-identification step. It also extents the method for closed-loop applications.…”

Section: Introductionmentioning

confidence: 99%

“…The outline of the paper is the following: Section II presents a brief description of the method proposed in [6] for open-loop. In Section III the closed-loop method is presented.…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of MPC based on structures subject to no-model input/output combinations

Massaro

Potts

Garcia

2013

2013 9th Asian Control Conference (ASCC)

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An analysis of the benefits over MPC performance obtained through the use of a method to detect no-model IO (input/output) combinations for open and closed-loop in multiple input multiple output (MIMO) systems is performed. Traditional approaches to IO selection are usually performed after the plant model is already characterized, which can lead to model-plant mismatch. The approach herein presented is applied during the pre-identification stage, in order to provide previous information to the following stages. A study case involving identification of a 2 × 2 MIMO system is discussed.

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Section: Discussionmentioning

confidence: 99%

Section: The No-model Io Combination Methods For Open-loopmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The outline of the paper is the following: Section II presents a brief description of the method proposed in [6] for open-loop. In Section III the closed-loop method is presented.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance analysis of MPC based on structures subject to no-model input/output combinations

Massaro

Potts

Garcia

2013

2013 9th Asian Control Conference (ASCC)

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Determinação de zeros na matriz de transferência de sistemas MIMO baseada em análise de correlação.

Massaro¹

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Ao professor Claudio Garcia, pela orientação e apoio, sem os quais este trabalho dificilmente seria possível. Aos colegas do laboratório: Alain Segundo Potts, Osmel Reyes Vaillant, Raphael Quachio e Rodrigo Juliani Correa de Godoy, pelas sugestões, que enriqueceram muito este trabalho. Aos meus pais, Carlos Alberto e Marisa, pelo seu apoio incondicional e encorajamento constante, em todas as etapas da minha vida. À minha esposa, Márcia, por toda a compreensão e incentivo ao longo destes anos. RESUMO O trabalho tem por objetivo avaliar diferentes métodos para identificar zeros na matriz de transferência de sistemas MIMO e propor um método novo baseado em análise de correlação. Estes métodos são utilizados durante a etapa de préidentificação, a fim de se obter informações relevantes que possam ser utilizadas para se reduzir o tempo dos experimentos, diminuir a variabilidade dos parâmetros dos modelos e melhorar a eficácia dos modelos remanescentes. Estes métodos são aplicados a sistemas MIMO lineares, com dados coletados em malha aberta e em malha fechada. É avaliado o ganho obtido em relação à capacidade de predição dos modelos, a redução do tempo de identificação e o ganho de desempenho do controlador MPC que utiliza estes modelos. O trabalho conclui que a informação de zeros resulta em melhorias no tempo de identificação e no desempenho do controlador MPC.

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Detection of no-model input/output combinations in MIMO systems subject to noise and unmeasured disturbances

Cited by 2 publications

References 14 publications

Performance analysis of MPC based on structures subject to no-model input/output combinations

Performance analysis of MPC based on structures subject to no-model input/output combinations

Determinação de zeros na matriz de transferência de sistemas MIMO baseada em análise de correlação.

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