Multi-rate dissipativity based control of process networks

Tippett, Michael James; Bao, Jie

doi:10.1016/j.jprocont.2014.08.005

Cited by 4 publications

(1 citation statement)

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“…The proposed analysis is explicitly formulated in terms of the dissipativity properties of the plantwide system, by lifting it into a slower sampling rate (similar to Ref. ), where the dissipativity of this lifted system can be explicitly handled using QdFs as supply rates. This analysis facilitates the design of dissipativity‐based DMPC (as an extension of the approach initially developed in Ref.…”

Section: Introductionmentioning

confidence: 99%

Dissipativity‐based distributed model predictive control with low rate communication

et al. 2015

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Distributed or networked model predictive control (MPC) can provide a computationally efficient approach that achieves high levels of performance for plantwide control, where the interactions between processes can be determined from the information exchanged among controllers. Distributed controllers may exchange information at a lower rate to reduce the communication burden. A dissipativity‐based analysis is developed to study the effects of low communication rates on plantwide control performance and stability. A distributed dissipativity‐based MPC design approach is also developed to guarantee the plantwide stability and minimum plantwide performance with low communication rates. These results are illustrated by a case study of a reactor‐distillation column network. © 2015 American Institute of Chemical Engineers AIChE J, 61: 3288–3303, 2015

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Section: Introductionmentioning

confidence: 99%