Adaptive control of strict-feedback nonlinear systems with output constraints and input delays

In this paper, the adaptive control problem of strict-feedback nonlinear systems with output constraints and input delay is studied. By using the auxiliary system to eliminate the effect of input delay. At the same time, the unknown nonlinear functions are effectively approximated by using neural ne...

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Bibliographic Details
Published in2024 36th Chinese Control and Decision Conference (CCDC) pp. 4742 - 4747
Main Authors Wang, Pu, Wu, Li-Bing, Wang, Si-Yu, Yu, Qi-Ke, Zhang, Lu-Yao, Li, Mei-Qiao
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.05.2024
Subjects
Adaptive control
Closed loop systems
Delays
input delays
Neural networks
Nonlinear systems
output constraints
Perturbation methods
Simulation
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Summary:In this paper, the adaptive control problem of strict-feedback nonlinear systems with output constraints and input delay is studied. By using the auxiliary system to eliminate the effect of input delay. At the same time, the unknown nonlinear functions are effectively approximated by using neural network. It is explained by the theoretical analysis that the tracking error is asymptotically converging to zero and the constructed Barrier Lyapunov function (BLF) can ensure that the requirement of system output is not violated. Finally, simulation results are given to illustrate the effectiveness of the method.
ISSN:1948-9447
DOI:10.1109/CCDC62350.2024.10588180