Takagi-Sugeno fuzzy-model-based fault detection for networked control systems with Markov delays

IEEE Trans Syst Man Cybern B Cybern. 2006 Aug;36(4):924-9. doi: 10.1109/tsmcb.2005.861879.

Abstract

A Takagi-Sugeno (T-S) model is employed to represent a networked control system (NCS) with different network-induced delays. Comparing with existing NCS modeling methods, this approach does not require the knowledge of exact values of network-induced delays. Instead, it addresses situations involving all possible network-induced delays. Moreover, this approach also handles data-packet loss. As an application of the T-S-based modeling method, a parity-equation approach and a fuzzy-observer-based approach for fault detection of an NCS were developed. An example of a two-link inverted pendulum is used to illustrate the utility and viability of the proposed approaches.

Publication types

  • Letter
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Artificial Intelligence*
  • Computer Communication Networks*
  • Computer Simulation
  • Equipment Failure Analysis / methods*
  • Feedback
  • Fuzzy Logic*
  • Markov Chains
  • Models, Statistical*
  • Pattern Recognition, Automated / methods*
  • Signal Processing, Computer-Assisted*