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On-line fault detection in uncertain nonlinear systems using diagnostic observers: A survey. (English) Zbl 0822.93046
The paper is a review of an observer-based approach to fault detection and isolation (FDI) in nonlinear time-varying systems and is devoted mainly to a detailed discussion of a dozen or so papers by the author and his coworkers. The main line of reasoning is to extend the result on the analytical redundancy approach for linear systems with unknown input to nonlinear and adaptive strategies. This approach enables decoupling between the different faults and ensures robustness with respect to modeling uncertainties or disturbances. The author claims that the observer-based approach is general after he has demonstrated its equivalence with the parity space approach. The paper addresses both steps of FDI, i.e. generation of a residual that reflects the fault and evaluation of the residuals with the aid of a decision-maker. Concerning the former problem, several observer-based robust methods are discussed. For solving the latter problem, besides reviewing the most important existing methods, a new proposal for an adaptive residual evaluation is reported. The paper presents many interesting ideas and solutions but the major problem is that the author devotes almost all of the review to his own papers. In my opinion, a review should summarize all important results in a specific area. By comparing these results, a conclusion could be drawn about the strengths and weaknesses of the various techniques. This is not the case here.

93C41 Control/observation systems with incomplete information
93B07 Observability
93C10 Nonlinear systems in control theory
93C99 Model systems in control theory
93C95 Application models in control theory
90B25 Reliability, availability, maintenance, inspection in operations research
93-02 Research exposition (monographs, survey articles) pertaining to systems and control theory
93E10 Estimation and detection in stochastic control theory
Full Text: DOI
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