Phase-space control system design
- 1 April 1993
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Control Systems
- Vol. 13 (2) , 39-46
- https://doi.org/10.1109/37.206984
Abstract
A computational environment has been developed to aid control system design for a particular class of nonlinear applications. The analysis and design tools constituting this environment are based on knowledge about phase-space dynamics of nonlinear and chaotic systems. Two implemented, complementary programs that exploit the special properties of such systems to synthesize powerful control systems automatically are described. Fast computers and powerful computational techniques that combine symbolic/numeric and algebraic/geometric computing with new reasoning mechanisms from artificial intelligence make this paradigm feasible, in spite of its inherent computational demands.Keywords
This publication has 11 references indexed in Scilit:
- The Supercomputer Toolkit and its applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Extracting and representing qualitative behaviors of complex systems in phase spaceArtificial Intelligence, 1994
- Phase space navigator: Towards automating control synthesis in phase spaces for nonlinear control systemsAnnual Review in Automatic Programming, 1991
- Experimental control of chaosPhysical Review Letters, 1990
- Stabilizing a linear system with quantized state feedbackIEEE Transactions on Automatic Control, 1990
- Controlling chaosPhysical Review Letters, 1990
- Intelligence in scientific computingCommunications of the ACM, 1989
- Complicated dynamics of prototype continuous-line adaptive control systemIEEE Transactions on Circuits and Systems, 1988
- Stability regions of nonlinear autonomous dynamical systemsIEEE Transactions on Automatic Control, 1988
- Deterministic Nonperiodic FlowJournal of the Atmospheric Sciences, 1963