Stable distributed MPC with zone control and input targets

Sarapka, Alexandre Sanioto; Martins, Márcio A. F.; Odloak, Darci

doi:10.1016/j.compchemeng.2021.107507

Cited by 5 publications

(3 citation statements)

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“…Equivalently, a performance criterion can also be defined in terms of the weighted sum of objective functions written individually for each subsystem (STEWART et al, 2010), which is employed in other DMPC formulations based on OPOM (SANTANA; MARTINS; ODLOAK, 2020b; SARAPKA; MARTINS; ODLOAK, 2021). However, compared with Santana, Martins and Odloak (2020b) and Sarapka, Martins and Odloak (2021), the approach used in this work results in a more compact performance index. Moreover, unlike in Sarapka, Martins and Odloak (2021), the use of a large set of slack variables related to the offset in the outputs is avoided here, which simplifies the control problem.…”

Section: The Plantwide Performance Indexmentioning

confidence: 98%

“…However, compared with Santana, Martins and Odloak (2020b) and Sarapka, Martins and Odloak (2021), the approach used in this work results in a more compact performance index. Moreover, unlike in Sarapka, Martins and Odloak (2021), the use of a large set of slack variables related to the offset in the outputs is avoided here, which simplifies the control problem.…”

Section: The Plantwide Performance Indexmentioning

confidence: 98%

“…In Santana, Martins and Odloak (2020b), a cooperative DMPC with soft terminal constraints is proposed and appropriate conditions on weighting control increments are provided to guarantee closed-loop stability. As an extension of this approach, Sarapka, Martins and Odloak (2021) propose a cooperative DMPC with control zones and input targets, which has no tuning requirements regarding the input move suppression weights for guaranteeing stability. Further details of these works can be found in Santana (2020) and in Sarapka (2020).…”

Section: Introductionmentioning

confidence: 99%

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for their valuable comments and suggestions that helped me to improve the text.I am extremely grateful to Guilherme for his constant review of my texts, for our fruitful exchange of experience in MATLAB, CasADi and L A T E X, and for the numerous conversations we had about control theory and the stability ingredients of different MPC formulations.I would like to thank Prof. Thiago Costa for inviting me to collaborate on papers we published together during this period. I would also like to thank him for being the one who introduced me to this fascinating world of Model Predictive Control.Thanks should also go to my friends from the Department of Telecommunications and Control Engineering, Fábio, Leonardo, Mateus and Gabriel, for our exchange of knowledge on control theory, and for the great time we spent together during our trip to take the LMI course at UNICAMP and during the CBA 2018. I am also grateful for always being welcome in their laboratory and for the espressos we had together at LCA.

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Section: The Plantwide Performance Indexmentioning

confidence: 98%

Section: The Plantwide Performance Indexmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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