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.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/5987 |
| Date | 01 March 1991 |
| Creators | Zhao, Feng |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 22 p., 3495943 bytes, 2787577 bytes, application/postscript, application/pdf |
| Relation | AIM-1274 |
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