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Dealing with Fault Dynamics in Nonlinear Systems via Double Neural Network Units

  • Yong D. Song
  • Xiao H. Liao
  • Cortney Bolden
  • Zhi Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3498)

Abstract

Most fault detection and accommodation methods have traditionally been derived based on linear system modeling techniques, which restrict the type of practical failure situation that can be modeled. In this paper we explore a methodology for fault accommodation in nonlinear dynamic systems. A new control scheme is derived by incorporating two neural network (NN) units to effectively attenuate and compensate uncertain dynamics due to unpredictable faults. It is shown that the method is independent of the nature of the fault. Numerical simulations are included to demonstrate the effectiveness of the proposed method.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yong D. Song
    • 1
  • Xiao H. Liao
    • 1
  • Cortney Bolden
    • 1
  • Zhi Yang
    • 2
  1. 1.Department of Electrical and Computer EngineeringNorth Carolina A&T State UniversityGreensboroUSA
  2. 2.Automation Institute Chongqing UniversityChongqingChina

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