Observer‐based distributed model predictive control of complex systems with state coupling constraints
نویسندگان
چکیده
In this paper, the cooperative distributed model predictive control (DMPC) problem of a class complex systems consisting several subsystems is studied. The states these are coupled with each other, and thus bring challenges for algorithm. Moreover, though can communicate they only access to output information their neighboring subsystems. case, Luenberger observers used estimate unknown prediction strategy established studied system. Then, optimal closed-loop system realized by designing controller on basis estimated states. terminal constraints introduced in proposed DMPC algorithm ensure iterative feasibility also stability closed-loop. Finally, effectiveness method verified numerical simulation.
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ژورنال
عنوان ژورنال: Iet Control Theory and Applications
سال: 2022
ISSN: ['1751-8644', '1751-8652']
DOI: https://doi.org/10.1049/cth2.12310