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Adaptive Critic for Controller Malfunction Accommodation

  • Gary G. Yen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3498)

Abstract

Built on the existing framework, we propose a novel supervisory system capable of detecting controller malfunctions before the stability of the plant is compromised. Furthermore, due to its ability to discern between controller malfunctions and faults within the plant, the proposed supervisor acts in a specific fashion in the event of a controller malfunction to provide new avenues with a greater probability of convergence using information from a Dynamic Model Bank. The classification and distinction of controller malfunctions from the faults in the plant itself is achieved through an advanced decision logic based on three independent quality indexes. Proof-of-the-concept simulations over a nonlinear plant demonstrate the validity of the approach.

Keywords

Quality Index Tracking Error Plant Dynamic Fault Tolerant Control Nonlinear Plant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Åström, K., Albertos, P., Blanke, M., Isidori, A., Schaufelberger, W., Sanz, R. (eds.): Control of Complex Systems. Springer, London (2001)MATHGoogle Scholar
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    Prokhorov, D., Santiago, R., Wunsch, D.: Adaptive Critic Designs: A Case Study for Neurocontrol. Neural Networks 8, 1367–1372 (1995)CrossRefGoogle Scholar
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    Yen, G., DeLima, P.: Improving the Performance of Globalized Dual Heuristic Programming for Fault Tolerant Control though And Online Learning Supervisor. Trans. Automation Science and Engineering 2 (2005) (to appear)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Gary G. Yen
    • 1
  1. 1.School of Electrical and Computer EngineeringOklahoma State UniversityStillwaterUSA

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