Diagnosability of Nonlinear Circuits and Systems—Part II: Dynamical Systems
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A theory for the diagnosability of nonlinear dynamical systems, similar to the one in Part I[1] for memoryless systems, is developed. It is based on an input-output model of the system in a Hilbert space setting. A necessary and sufficient condition for the local diagnosability of the system, which is a rank test on a matrix, is derived. A simple sufficient condition is also derived. It is shown that, for locally diagnosable systems, there exist a finite number of test inputs that are sufficient to diagnose the system. Illustrative examples are presented.
[1] J. Dieudonne. Foundations of Modern Analysis , 1969 .
[2] Robert K. Brayton,et al. The Sparse Tableau Approach to Network Analysis and Design , 1971 .
[3] Neeraj Sen,et al. Fault diagnosis for linear systems via multifrequency measurements , 1979 .
[4] Alberto L. Sangiovanni-Vincentelli,et al. Diagnosability of Nonlinear Circuits and Systems—Part I: The dc Case , 1981, IEEE Transactions on Computers.
[5] J. Schwartz. Nonlinear Functional Analysis , 1969 .