18] P. M. Frank. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy { a survey and some new results. detection in an experimental heat exchanger process: a multiple model approach. Knowledge-based diagnosis systems for continuous process operations based upon the task framework. 26 models to the data in a Qmimic-style system is currently being studied 33]. A comp...

System identification takes a space of possible models and a stream of observational data of a physical system, and attempts to identify the element of the model space that best describes the observed system. In traditional approaches, the model space is specified by a parameterized differential equation, and identification selects numerical parameter values so that simulation of the model best...

Comparative analysis (CA) of dynamical systems is an important problem in qualitative reasoning. CA techniques predict differences in the behavior of two systems as a consequence of differences in the initial conditions or structural differences. A disadvantage of these techniques is the imprecision of the possible answers due to their qualitative nature. This report presents SQCA, an implement...

Malaria is a parasitic disease with limited chemotherapy options. Chemotherapy options are limited; moreover, drug resistant frequently occurs. The speed of drug development should be faster to overcome the emerging drug resistance. In the current study, a series of quinolone derivatives were subjected to quantitative structure activity relationship to identify the ideal physicochemical charact...

Malaria is a parasitic disease with limited chemotherapy options. Chemotherapy options are limited; moreover, drug resistant frequently occurs. The speed of drug development should be faster to overcome the emerging drug resistance. In the current study, a series of quinolone derivatives were subjected to quantitative structure activity relationship to identify the ideal physicochemical charact...

System identiication takes a space of possible models and a stream of observational data of a physical system, and attempts to identify the element of the model space that best describes the observed system. In traditional approaches, the model space is speciied by a parameterized diierential equation, and identiication selects numerical parameter values so that simulation of the model best mat...