Barcelli, Davide and Ocampo-Martinez, Carlos and Cayuela, Vincenç Puig and Bemporad, Alberto Decentralized model predictive control of drinking water networks using an automatic subsystem decomposition approach. In: Symposium on large scale complex systems theory and applications. IFAC. ISBN 978-3-902661-91-3 (2010)Full text not available from this repository.
This paper proposes an automatic model decomposition approach for decentralized model predictive control (DMPC) of drinking water networks (DWNs). For a given DWN, the proposed algorithm partitions the network in a set of subnetworks by taking advantage of the topology of the network, of the information about the use of actuators, and of system management heuristics. The derived suboptimal DMPC strategy results in a hierarchical solution with a set of MPC controllers used for each partition. A comparative study between centralized MPC (CMPC) and DMPC approaches is described for the considered case study, which consists of an aggregate version of the Barcelona DWN. Results on several simulation scenarios show the effectiveness of the proposed DMPC approach in terms of the reduced computation burden and, at the same time, of the admissible lost of performance.
|Item Type:||Book Section|
|Uncontrolled Keywords:||model predictive control; networked systems partitioning; hierarchical control; decentralized control; drinking water networks|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
|Research Area:||Computer Science and Applications|
|Depositing User:||Professor Alberto Bemporad|
|Date Deposited:||29 Jul 2011 10:18|
|Last Modified:||05 Aug 2011 12:30|
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