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Fixed-time Fuzzy Adaptive Decentralized Control for High-order Nonlinear Large-scale Systems

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Abstract

This paper studies a fuzzy adaptive fixed-time tracking control issue for nonlinear high-order largescale systems. Fuzzy logic systems (FLSs) are utilized to identify unknown nonlinearities. Through using adaptive backstep** and adding a power integrator technique, the fixed-time decentralized control method is presented. It is proved that the tracking errors converge to a small neighborhood of a fixed time. A simulation example is presented to confirm the validity of the developed control method.

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Author information

Authors and Affiliations

  1. Department of College of Science, Liaoning University of Technology, **zhou, China

    Bo Kang, Zhiyao Ma & Yongming Li

  2. Department of Dandong Dongfang Measurement & Control Technology Co., Ltd., Dandong, China

    Wei Zhang

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  1. Bo Kang
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Corresponding author

Correspondence to Zhiyao Ma.

Additional information

Bo Kang received her B.S. degree in economic statistics, and M.E. degree in applied mathematics from Liaoning University of Technology, **zhou, China, in 2019 and 2022, respectively. Her current research interests include finite-time intelligent adaptive control of high-order nonlinear systems.

Zhiyao Ma received his B.S. degree in information and computing science, M.E. degree in applied mathematics from Liaoning University of Technology, **zhou, China, and a Ph.D. degree in navigation, guidance, and control from Northeastern University, Shenyang, China, in 2013, 2017, and 2021, respectively. He is currently a Lecturer at the College of Science, Liaoning University of Technology, **zhou, China. His current research interests include adaptive control, fuzzy/neural network control, and fault-tolerant control for nonlinear systems/nonlinear fractional-order systems.

Wei Zhang received his B.S. degree in nuclear physics and nuclear technology from Jilin University, China, in 1998. At present, he is working as Deputy Chief Engineer in Dandong Dongfang Measurement and Control Technology Co., Ltd. His current research interests include online inspection analysis and automation control.

Yongming Li received his B.S. and M.S. degrees in applied mathematics from Liaoning University of Technology, **zhou, China, in 2004 and 2007, respectively. He received a Ph.D. degree in transportation information engineering & control from Dalian Maritime University, Dalian, China in 2014. He is currently a Professor in the College of Science, Liaoning University of Technology. His current research interests include adaptive control, fuzzy control, and neural networks control for nonlinear systems.

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This work was supported by the National Natural Science Foundation (NNSF) of China under Grant U22A2043.

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Kang, B., Ma, Z., Zhang, W. et al. Fixed-time Fuzzy Adaptive Decentralized Control for High-order Nonlinear Large-scale Systems. Int. J. Control Autom. Syst. 20, 4100–4110 (2022). https://doi.org/10.1007/s12555-021-1050-8

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