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Phase-space control system design

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2 Author(s)
E. Bradley ; Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA ; F. Zhao

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.<>

Published in:

IEEE Control Systems  (Volume:13 ,  Issue: 2 )