A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence
Structure identification of nonlinear dynamic systems—a survey on input/output approaches
Automatica (Journal of IFAC)
Applied system identification
Automatic control systems (7th ed.)
Automatic control systems (7th ed.)
Multimodal reasoning for automatic model construction
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Global solutions for nonlinear systems using qualitative reasoning
Annals of Mathematics and Artificial Intelligence
Integrated multimodal reasoning for modeling of physical systems
Integrated multimodal reasoning for modeling of physical systems
Generalized physical networks for automated model building
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Automated mathematical modeling from experimental data: anapplication to material science
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Intelligent Sensor Analysis and Actuator Control
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Communicable Knowledge in Automated System Identification
Computational Discovery of Scientific Knowledge
Measurement and dynamical analysis of computer performance data
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
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The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causee ffiect pair. Any automated modeling tool that takes this approach must be able to reason effiectively about sensors and actuators and their interactions with the target system. Distilling qualitative information from sensor data is fairly easy, but a variety of difficult control-theoretic issues -- controllability, reachability, and utility -- arise during the planning and execution of experiments. This paper describes some representations and reasoning tactics, collectively termed qualitative bifurcation analysis, that make it possible to automate this task.