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Design of decentralized adaptive control approach for large-scale nonlinear systems subjected to input delays under prescribed performance

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Abstract

For the first time, the issue of input delay and prescribed performance control is investigated in the same framework for large-scale nonlinear systems in this study, and an original adaptive decentralized control method is proposed by taking advantage of multi-dimensional Taylor network (MTN) method. Firstly, the problem of input delays is solved by introducing new variables, and a new form of coordinate transformation is introduced before controller design, which simplified the control system. Secondly, the problem of prescribed performance control is coped with by integrating the idea of prescribed performance into the Lyapunov functions of first step of backstepping of each subsystem. Thirdly, MTNs are employed to evaluate the combination of unknown functions, and then, a decentralized MTN-based adaptive control scheme is developed by way of backstepping technology. The theoretical analysis indicates that the proposed control scheme can implement the expected tracking goals under the condition of meeting the prescribed performance control. Finally, two examples are given to show the validity and rationality of the proposed control method.

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  1. School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, 266061, China

    Yu-Qun Han

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This work was supported by the Shandong Provincial Natural Science Foundation, China (No. ZR2020QF055)

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Han, YQ. Design of decentralized adaptive control approach for large-scale nonlinear systems subjected to input delays under prescribed performance. Nonlinear Dyn 106, 565–582 (2021). https://doi.org/10.1007/s11071-021-06843-z

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