Title :
Phase-space control system design
Author :
Bradley, Elizabeth ; Zhao, Feng
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
fDate :
4/1/1993 12:00:00 AM
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 :
control system CAD; inference mechanisms; nonlinear control systems; algebraic/geometric computing; artificial intelligence; chaotic systems; computational environment; control system design; nonlinear applications; phase-space dynamics; reasoning mechanisms; symbolic/numeric computing; Artificial intelligence; Automatic control; Chaos; Computer science; Control system synthesis; Control systems; Navigation; Nonlinear control systems; Nonlinear dynamical systems; System analysis and design;
Journal_Title :
Control Systems, IEEE
