Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 436935, 7 pages
http://dx.doi.org/10.1155/2015/436935
Research Article

Robust Fault Diagnosis Design for Linear Multiagent Systems with Incipient Faults

1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
2College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received 30 July 2014; Accepted 24 September 2014

Academic Editor: Peng Shi

Copyright © 2015 Jingping Xia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. Hong, G. Chen, and L. Bushnell, “Distributed observers design for leader-following control of multi-agent networks,” Automatica, vol. 44, no. 3, pp. 846–850, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  2. C.-Q. Ma and J.-F. Zhang, “Necessary and sufficient conditions for consensusability of linear multi-agent systems,” IEEE Transactions on Automatic Control, vol. 55, no. 5, pp. 1263–1268, 2010. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  3. Z. Li, Z. Duan, and G. Chen, “Dynamic consensus of linear multi-agent systems,” IET Control Theory and Applications, vol. 5, no. 1, pp. 19–28, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. H. Du, S. Li, and P. Shi, “Robust consensus algorithm for second-order multi-agent systems with external disturbances,” International Journal of Control, vol. 85, no. 12, pp. 1913–1928, 2012. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  5. Y. Liu and Y. Jia, “H consensus control for multi-agent systems with linear coupling dynamics and communication delays,” International Journal of Systems Science, vol. 43, no. 1, pp. 50–62, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  6. M. H. Nguyen and D. Q. Tran, “A combination trust model for multi-agent systems,” International Journal of Innovative Computing, Information and Control, vol. 9, no. 6, pp. 2405–2420, 2013. View at Google Scholar · View at Scopus
  7. A. Sedziwy, “Effective graph representation supporting multi-agent distributed computing,” International Journal of Innovative Computing, Information and Control, vol. 10, no. 1, pp. 101–113, 2014. View at Google Scholar · View at Scopus
  8. M. Blanke, M. Kinnaert, J. Lunze, and M. Staroswiecki, Diagnosis and Fault-Tolerant Control, Springer, New York, NY, USA, 2006.
  9. S. X. Ding, Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools, Springer, Berlin, Germany, 2008.
  10. K. Zhang, B. Jiang, and P. Shi, Observer-Based Fault Estimation and Accommodation for Dynamic Systems, Springer, Berlin, Germany, 2013. View at MathSciNet
  11. M. A. Demetriou and M. M. Polycarpou, “Incipient fault diagnosis of dynamical systems using online approximators,” IEEE Transactions on Automatic Control, vol. 43, no. 11, pp. 1612–1617, 1998. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  12. X. Zhang, M. M. Polycarpou, and T. Parisini, “A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems,” IEEE Transactions on Automatic Control, vol. 47, no. 4, pp. 576–593, 2002. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  13. W. Chen and F. N. Chowdhury, “Analysis and detection of incipient faults in post-fault systems subject to adaptive fault-tolerant control,” International Journal of Adaptive Control and Signal Processing, vol. 22, no. 9, pp. 815–832, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  14. W. Chen and F. N. Chowdhury, “A synthesized design of sliding-mode and Luenberger observers for early detection of incipient faults,” International Journal of Adaptive Control and Signal Processing, vol. 24, no. 12, pp. 1021–1035, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  15. T. Iwasaki and S. Hara, “Generalized KYP lemma: unified frequency domain inequalities with design applications,” IEEE Transactions on Automatic Control, vol. 50, no. 1, pp. 41–59, 2005. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  16. K. Zhang, B. Jiang, and P. Shi, “Observer-based integrated robust fault estimation and accommodation design for discrete-time systems,” International Journal of Control, vol. 83, no. 6, pp. 1167–1181, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  17. K. Zhang, B. Jiang, P. Shi, and J. Xu, “Fault estimation observer design for discrete-time systems in finite-frequency domain,” International Journal of Robust and Nonlinear Control, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. Q. Shen, B. Jiang, P. Shi, and J. Zhao, “Cooperative adaptive fuzzy tracking control for networked unknown nonlinear multi-agent systems with time-varying actuator faults,” IEEE Transactions on Fuzzy Systems, vol. 22, no. 3, pp. 494–504, 2014. View at Google Scholar
  19. H. Zhang, F. L. Lewis, and A. Das, “Optimal design for synchronization of cooperative systems: state feedback, observer and output feedback,” IEEE Transactions on Automatic Control, vol. 56, no. 8, pp. 1948–1952, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  20. Z. Li, Z. Duan, and G. Chen, “H and H2 performance regions of multi-agent systems,” Automatica, vol. 47, no. 4, pp. 797–803, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  21. R. Ghadami and B. Shafai, “Decomposition-based distributed control for continuous-time multi-agent systems,” IEEE Transactions on Automatic Control, vol. 58, no. 1, pp. 258–264, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus