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Adaptive control for uncertain nonlinear systems based on multiple neural networks.

Choon-Young Lee1, Ju-Jang Lee

  • 1Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Republic of Korea. cylee@odyssey.kaist.ac.kr

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|September 17, 2004
PubMed
Summary

A novel adaptive multiple neural network controller (AMNNC) effectively manages uncertain nonlinear systems by approximating dynamics with multiple neural networks. This approach enhances control skill memorization and adaptation for varying tasks, ensuring system stability.

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Failed At:

2026-06-19T13:35:46.493188+00:00

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