In fault diagnosis, we have developed algorithms for locating sensors in complex chemical plants based on various fault diagnostic observability criteria. In the area of simulation, we are looking at the role of decomposition in solving large system of equations. Nonlinear programming approaches are being investigated for solving data reconciliation problems.
Work is also underway in the design of nonlinear observers for the problem of fault diagnosis.
In identification, research is being performed in designing optimal input signals that would generate meaningful and rich data. Intell. , 2000. Sci. , 2000.