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Neural-Network-Based Decentralized Adaptive Control for a Class of Large-Scale Nonlinear Systems With Unknown Time-Varying Delays

Sung Jin Yoo, Jin Bae Park·2009·IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Abstract

A decentralized adaptive methodology is presented for large-scale nonlinear systems with model uncertainties and time-delayed interconnections unmatched in control inputs. The interaction terms with unknown time-varying delays are bounded by unknown nonlinear bounding functions related to all states and are compensated by choosing appropriate Lyapunov-Krasovskii functionals and using the function approximation technique based on neural networks. The proposed memoryless local controller for each subsystem can simply be designed by extending the dynamic surface design technique to nonlinear systems with time-varying delayed interconnections. In addition, we prove that all the signals in the closed-loop system are semiglobally uniformly bounded, and the control errors converge to an adjustable neighborhood of the origin. Finally, an example is provided to illustrate the effectiveness of the proposed control system.

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Metadata

Authors
Yoo, S. J., & Park, J. B.
Venue
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
Published
2009-10
Volume
39
Issue
5
Pages
1316-1323
ISSN
1083-4419 (ISSN-L)
OpenAlex
W2171574462
Cited by
196
References
0
FWCI
14.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Neural-Network-Based Decentralized Adaptive Control for a Class of Large-Scale Nonlinear Systems With Unknown Time-Varying Delays. https://app.cochat.ai/papers/10.1109/tsmcb.2009.2016110
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Yoo, S. J., & Park, J. B. (2009). Neural-Network-Based Decentralized Adaptive Control for a Class of Large-Scale Nonlinear Systems With Unknown Time-Varying Delays. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). https://doi.org/10.1109/tsmcb.2009.2016110

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