Modular feedback control of networked systems by clustering: a drinking water network case study
This article presents a method based on linear matrix inequalities (LMIs) for designing a modular feedback control law, whose synthesis guarantees the system stability, whilst switching to different network topologies. Such stability is achieved by means of a common Lyapunov function to all network...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/343505 |
| Acceso en línea: | https://hdl.handle.net/2117/343505 https://dx.doi.org/10.3390/pr9020389 |
| Access Level: | acceso abierto |
| Palabra clave: | Water -- Distribution Predictive control Modular control Clustering Coalitional control Distributed control Water systems Drinking water networks (DWNs) Aigua -- Distribució -- Control automàtic Control predictiu Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | This article presents a method based on linear matrix inequalities (LMIs) for designing a modular feedback control law, whose synthesis guarantees the system stability, whilst switching to different network topologies. Such stability is achieved by means of a common Lyapunov function to all network admissible configurations. Several mechanisms to relieve the computational burden of this methodology in large-scale systems are also presented. To assess its applicability, the modular controller is tested on a real case study, namely the Barcelona drinking water network (DWN), and its performance is compared with that of other control strategies, showing the effectiveness of the proposed approach. |
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