Neural Network Control Design for Large-Scale Systems with Higher-Order Interconnections

  • Cong Ming
  • Sunan Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)


A decentralized neural network controller for a class of large-scale nonlinear systems with the higher-order interconnections is proposed. The neural networks (NNs) are used to cancel the effects of unknown subsystems, while the robustifying terms are used to counter the effects of the interconnections. Semi-global asymptotic stability results are obtained and the tracking error converges to zero.


Tracking Error Radial Basis Neural Network Weight Estimation Error Adaptive Decentralize Control Basis Neural Network Control 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cong Ming
    • 1
  • Sunan Huang
    • 1
  1. 1.School of Mechanical EngineeringDalian University of TechnologyDalianChina

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