Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay
This study proposes a Disturbance-improved Model-free Adaptive Prediction Control (DMFAPC) algorithm for a discrete-time nonlinear system with time delay and disturbance. The algorithm is shown to have good robustness. On the one hand, the Smith predictor is used to predict the output at a future ti...
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MDPI AG
2021
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oai:doaj.org-article:81e27956440b492a9064564f20baeebd2021-11-25T19:06:57ZDisturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay10.3390/sym131121282073-8994https://doaj.org/article/81e27956440b492a9064564f20baeebd2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-8994/13/11/2128https://doaj.org/toc/2073-8994This study proposes a Disturbance-improved Model-free Adaptive Prediction Control (DMFAPC) algorithm for a discrete-time nonlinear system with time delay and disturbance. The algorithm is shown to have good robustness. On the one hand, the Smith predictor is used to predict the output at a future time to eliminate the time delay in the system; on the other hand, an attenuation factor is introduced at the input to effectively eliminate the measurement disturbance. The proposed algorithm is a data-driven control algorithm that does not require the model information of the controlled system; it only requires the input and output data. The convergence of the DMFAPC is analyzed. Simulation results confirm the effectiveness of this algorithm.Honghai JiYuzhou WeiLingling FanShida LiuYulin WangLi WangMDPI AGarticlemodel-free adaptive prediction controltime-delay systemdata-driventracking differentiatorrobustnessMathematicsQA1-939ENSymmetry, Vol 13, Iss 2128, p 2128 (2021) |
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model-free adaptive prediction control time-delay system data-driven tracking differentiator robustness Mathematics QA1-939 |
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model-free adaptive prediction control time-delay system data-driven tracking differentiator robustness Mathematics QA1-939 Honghai Ji Yuzhou Wei Lingling Fan Shida Liu Yulin Wang Li Wang Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay |
description |
This study proposes a Disturbance-improved Model-free Adaptive Prediction Control (DMFAPC) algorithm for a discrete-time nonlinear system with time delay and disturbance. The algorithm is shown to have good robustness. On the one hand, the Smith predictor is used to predict the output at a future time to eliminate the time delay in the system; on the other hand, an attenuation factor is introduced at the input to effectively eliminate the measurement disturbance. The proposed algorithm is a data-driven control algorithm that does not require the model information of the controlled system; it only requires the input and output data. The convergence of the DMFAPC is analyzed. Simulation results confirm the effectiveness of this algorithm. |
format |
article |
author |
Honghai Ji Yuzhou Wei Lingling Fan Shida Liu Yulin Wang Li Wang |
author_facet |
Honghai Ji Yuzhou Wei Lingling Fan Shida Liu Yulin Wang Li Wang |
author_sort |
Honghai Ji |
title |
Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay |
title_short |
Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay |
title_full |
Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay |
title_fullStr |
Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay |
title_full_unstemmed |
Disturbance-Improved Model-Free Adaptive Prediction Control for Discrete-Time Nonlinear Systems with Time Delay |
title_sort |
disturbance-improved model-free adaptive prediction control for discrete-time nonlinear systems with time delay |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/81e27956440b492a9064564f20baeebd |
work_keys_str_mv |
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1718410287683469312 |