Data‐driven urban traffic model‐free adaptive iterative learning control with traffic data dropout compensation
نویسندگان
چکیده
منابع مشابه
Model-Free Adaptive Control Algorithm with Data Dropout Compensation
The convergence of model-free adaptive control MFAC algorithm can be guaranteed when the system is subject to measurement data dropout. The system output convergent speed gets slower as dropout rate increases. This paper proposes a MFAC algorithm with data compensation. The missing data is first estimated using the dynamical linearization method, and then the estimated value is introduced to up...
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ژورنال
عنوان ژورنال: IET Control Theory & Applications
سال: 2021
ISSN: 1751-8644,1751-8652
DOI: 10.1049/cth2.12141