Symbolic numerical computational tools for nonlinear and adaptive control

Author

Polyakov, V. ; Ghanadan, R. ; Blankenship, G.L.

Author_Institution

Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA

fYear

1994

fDate

7-9 Mar 1994

Firstpage

117

Lastpage

122

Abstract

We describe a symbolic computer algebra system (CAS) toolbox for nonlinear and adaptive control law synthesis and simulation. This Mathematica program provides functions for basic mathematical operations frequently encountered in analysis of nonlinear systems, implements algorithms for adaptive and approximate nonlinear control as well as provides speedy and flexible simulation via automatic C and MATLAB code generation. The package is applied to conical magnetic bearings, a system of 18-dimensions and an uncertain parameter

Keywords

adaptive control; automatic programming; control system CAD; digital simulation; nonlinear control systems; symbol manipulation; C code generation; MATLAB code generation; Mathematica; adaptive control; approximate nonlinear control; conical magnetic bearings; control law synthesis; simulation; symbolic computer algebra system toolbox; symbolic numerical computational tools; Adaptive control; Algebra; Algorithm design and analysis; Computational modeling; Computer simulation; Content addressable storage; Control system synthesis; Magnetic analysis; Nonlinear systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Aided Control System Design, 1994. Proceedings., IEEE/IFAC Joint Symposium on

Conference_Location

Tucson, AZ

Print_ISBN

0-7803-1800-5

Type

conf

DOI

10.1109/CACSD.1994.288940

Filename

288940