A New Robust Adaptive Decentralized Tube Model Predictive Control of Continuous Time Uncertain Nonlinear Large-Scale Systems
Autor: | Samane Fazeli, Naiem Abdollahi, Hashem Imani Marrani, Hamid Malekizade, Hasan Hosseinzadeh |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Cogent Engineering, Vol 6, Iss 1 (2019) |
Druh dokumentu: | article |
ISSN: | 2331-1916 23311916 |
DOI: | 10.1080/23311916.2019.1680093 |
Popis: | In this paper, a new decentralized model predictive control has been proposed for continuous-time nonlinear large-scale systems made of multiple interconnected subsystems and uncertain systems with disturbances. This approach is characterized by: (I) consideration of input and state constraints, (II) no requirement for information transmission between local control rules, (III) robustness of local controllers to uncertainty in model and disturbances.; (IV) bounded disturbances in subsystems, but their upper bound is not specified; (V) a robust invariant set for each controller; (VI) proven closed-loop system overall stability and convergence. In order to show the key features and the performance of the proposed algorithm, a simulation model has been provided. |
Databáze: | Directory of Open Access Journals |
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