In this paper, a fault detection scheme is developed for nonlinear discrete time systems. The changes in the system dynamics due to incipient failures are modeled as a nonlinear function of state and input variables while the time profile of the failures is assumed to be exponentially developing. The fault is detected by monitoring the system and is approximated by using online approximators. A stable adaptation law in discrete-time is developed in order to characterize the faults. The robustness of the diagnosis scheme is shown by extensive mathematical analysis and simulation results.

Meeting Name

46th IEEE Conference on Decision and Control (2007: Dec. 12-14, New Orleans, LA)


Electrical and Computer Engineering

Second Department

Computer Science


National Science Foundation (U.S.)

Library of Congress Subject Headings

Approximation theory
Discrete-time systems
Faults (Geology)
Nonlinear control theory

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2007 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.