
This paper deals with the fault detection and isolation (FDI) problem for linear structured systems in which the system matrices are given by zero/nonzero/arbitrary pattern matrices. In this paper, we follow a geometric approach to verify solvability of the FDI problem for such systems. To do so, we first develop a necessary and sufficient condition under which the FDI problem for a given particular linear time-invariant system is solvable. Next, we establish a necessary condition for solvability of the FDI problem for linear structured systems. In addition, we develop a sufficient algebraic condition for solvability of the FDI problem in terms of a rank test on an associated pattern matrix. To illustrate that this condition is not necessary, we provide a counterexample in which the FDI problem is solvable while the condition is not satisfied. Finally, we develop a graph-theoretic condition for the full rank property of a given pattern matrix, which leads to a graph-theoretic condition for solvability of the FDI problem.
6 pages, 1 figure, 1 table
Controllability, Silicon, linear systems, Linear systems, Indexes, SENSOR-LOCATION, Systems and Control (eess.SY), Dynamical Systems (math.DS), fault diagnosis, DIAGNOSIS, Electrical Engineering and Systems Science - Systems and Control, FAILURE-DETECTION, Control theory, Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Dynamical Systems, Observers, Fault detection, Mathematics - Optimization and Control
Controllability, Silicon, linear systems, Linear systems, Indexes, SENSOR-LOCATION, Systems and Control (eess.SY), Dynamical Systems (math.DS), fault diagnosis, DIAGNOSIS, Electrical Engineering and Systems Science - Systems and Control, FAILURE-DETECTION, Control theory, Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Dynamical Systems, Observers, Fault detection, Mathematics - Optimization and Control
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