Decentralized Model Predictive Control of Time-varying Splitting Parallel Systems

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dc.contributor.author Tran, Tri en_US
dc.contributor.author Hoang, Tuan en_US
dc.contributor.author Ha, Quang en_US
dc.contributor.author Nguyen, Hung en_US
dc.contributor.editor Mohammadpour, Javad; Scherer, Carsten W. en_US
dc.date.accessioned 2012-10-12T03:31:36Z
dc.date.available 2012-10-12T03:31:36Z
dc.date.issued 2012 en_US
dc.identifier 2010006762 en_US
dc.identifier.citation Tran Tri et al. 2012, 'Decentralized Model Predictive Control of Time-varying Splitting Parallel Systems', in http://dx.doi.org/10.1007/978-1-4614-1833-7 (ed.), Springer, Houston, Stuttgart, pp. 217-251. en_US
dc.identifier.issn 978-1-4614-1832-0 en_US
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/17757
dc.description.abstract This chapter is devoted to the development of a decentralised model predictive control (MPC) strategy for splitting parallel systems that have timevarying and unknown splitting ratios. The large-scale system in consideration consists of several dynamically-coupled modular subsystems. Each subsystem is regulated by a dedicated multivariable controller employing the open-loop MPC algorithms in conjunction with stability constraints. The connection topology of the large-scale systems includes serial, parallel and recirculated configurations. The solution to splitting parallel systems in this chapter is not only an alternative to the hybrid approach for duty-standby modes, but also a novel approach that accommodates the concurrent operations of splitting parallel systems. The effectiveness of this approach rests on the newly introduced asymptotically positive real constraint (APRC) which prescribes an approaching characteristic towards a positive real property of the system under control. The asymptotic attribute of APRC smooths out all significant wind-up actions in the control trajectories. The APRCs are developed into a one-time-step quadratic constraint on the local control vectors, which plays the role of a stability constraint for the decentralised MPC. The recursive feasibility is assured by characterizing the APRC with dynamicmultiplier matrices. Numerical simulations for two typical modular systems in an alumina refinery are provided to illustrate the theoretical results. en_US
dc.language en_US
dc.publisher Springer en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/978-1-4614-1833-7 en_US
dc.title Decentralized Model Predictive Control of Time-varying Splitting Parallel Systems en_US
dc.parent Control of Linear Parameter Varying Systems with Applications en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Germany en_US
dc.identifier.startpage 217 en_US
dc.identifier.endpage 251 en_US
dc.cauo.name FEIT.A/DRsch Ctre for Intelligent Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 090600 en_US
dc.personcode 11091410 en_US
dc.personcode 110708 en_US
dc.personcode 000935 en_US
dc.personcode 840115 en_US
dc.percentage 100 en_US
dc.classification.name Electrical and Electronic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US
dc.staffid 840115 en_US


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