Time-varying scheme for non-centralized model predictive control of large-scale systems
The Non-Centralized Model Predictive Control (NC-MPC) framework in this paper refers to any distributed, hierarchical, or decentralized model predictive controller (or a combination of them) the structure of which can change over time and the control actions of which are not obtained based on a cent...
| Autores: | , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2015 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/85452 |
| Acesso em linha: | https://hdl.handle.net/2117/85452 https://dx.doi.org/10.1155/2015/560702 |
| Access Level: | Acceso aberto |
| Palavra-chave: | control system synthesis control theory optimisation predictive control model predictive control large-scale systems non-centralized control time-varying control topologies Classificació INSPEC::Control theory Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Resumo: | The Non-Centralized Model Predictive Control (NC-MPC) framework in this paper refers to any distributed, hierarchical, or decentralized model predictive controller (or a combination of them) the structure of which can change over time and the control actions of which are not obtained based on a centralized computation. Within this framework, we propose suitable on-line methods to decide which information is shared and how this information is used between the different local predictive controllers operating in a decentralized, distributed, and/or hierarchical way. Evaluating all the possible structures of the NC-MPC controller leads to a combinatorial optimization problem. Therefore, we also propose heuristic reduction methods, to keep tractable the number of NC-MPC problems to be solved. To show the benefits of the proposed framework, a case study of a set of coupled water tanks is presented. |
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