Phase-space control system design

Author

Bradley, Elizabeth ; Zhao, Feng

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA

Volume

13

Issue

2

fYear

1993

fDate

4/1/1993 12:00:00 AM

Firstpage

39

Lastpage

46

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;

fLanguage

English

Journal_Title

Control Systems, IEEE

Publisher

ieee

ISSN

1066-033X

Type

jour

DOI

10.1109/37.206984

Filename

206984