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Extracting and Representing Qualitative Behaviors of Complex Systems in Phase Spaces

Author(s)
Zhao, Feng
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Abstract
We develop a qualitative method for understanding and representing phase space structures of complex systems and demonstrate the method with a program, MAPS --- Modeler and Analyzer for Phase Spaces, using deep domain knowledge of dynamical system theory. Given a dynamical system, the program generates a complete, high level symbolic description of the phase space structure sensible to human beings and manipulable by other programs. Using the phase space descriptions, we are developing a novel control synthesis strategy to automatically synthesize a controller for a nonlinear system in the phase space to achieve desired properties.
Date issued
1991-03-01
URI
http://hdl.handle.net/1721.1/5987
Other identifiers
AIM-1274
Series/Report no.
AIM-1274
Keywords
automated control, knowledge representation, non-linearsdynamical systems

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