Bradley, E., and Easley, M. 1998. Reasoning about sensor data for automated system identication . Intelligent Data Analysis. Also in IDA-97. Raising the abstraction level of the analysis of individual sensor data sets, however, is only a very small part of the power of qualitative analysis of statespace portraits.
Dynamical systems can be extremely complicated.
Reasoning about sensor data for automated system identication . Dealing with actuators is even harder because of the nonlinear control theory that is involved. The input output modeling strategies that are the topic of this paper play important roles in both the generate and the test phase. Reasoning about sensor data for automated system identication . In order to interact with the target system, pret makes use of sensors and actuators, as shown in Fig. 4.