Control of nonlinear systems via dynamic neural network control (DNNC): adaptive control, constraint handling, and extension to MIMO case

Author

Nikravesh, Masoud ; Farell, Andrew E.

Author_Institution

Dept. of Chem. Eng., South Carolina Univ., Columbia, SC, USA

fYear

1995

fDate

12-14 Mar 1995

Firstpage

509

Lastpage

513

Abstract

DNNC has been successfully applied to nonisothermal CSTR with time varying parameters including activation energy and heat transfer coefficient. Thus, the objectives of the paper are: 1. To study the constraint handling properties of DNNC, 2. To extend SISO-DNNC to MIMO-DNNC, 3. To study the on-line adaptation properties of DNNC

Keywords

MIMO systems; adaptive control; chemical variables control; constraint handling; heat transfer; intelligent control; nonlinear systems; process control; time-varying systems; MIMO case; MIMO-DNNC; SISO-DNNC; activation energy; adaptive control; constraint handling; dynamic neural network control; heat transfer coefficient; nonisothermal CSTR; nonlinear systems control; on-line adaptation properties; time varying parameters; Adaptive control; Control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Open loop systems; Optimal control; Power system modeling; Process control; Quadratic programming;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on

Conference_Location

Starkville, MS

ISSN

0094-2898

Print_ISBN

0-8186-6985-3

Type

conf

DOI

10.1109/SSST.1995.390529

Filename

390529