DocumentCode :
2220461
Title :
Neural network control for nonlinear industrial processes and discrete systems
Author :
Chawla, M.P.S. ; Pauddar, C.M. ; Somani, N.D. ; Sarkar, B.
Author_Institution :
Dept. of Electr. Eng., S.G.S. Inst. of Technol. & Sci., Indore, India
fYear :
1993
fDate :
15-19 Nov 1993
Firstpage :
327
Abstract :
This paper presents a neural network controller For controlling nonlinear industrial processes and nonlinear discrete time varying delay systems. The paper considers the control of a 3×3 nonlinear dynamical system which exhibits different but constant delays in inputs. Another feature of this paper is that it is intended to provide control for a very general class of unknown discrete nonlinear processes. Extensive analysis is used in development of various parts of the control scheme, that is also verified by the simulation result of a nominal nonlinear process. The different nonlinearities are considered along with their modelling in this paper
Keywords :
delays; discrete systems; neural nets; nonlinear control systems; nonlinear dynamical systems; process computer control; process control; time-varying systems; 3×3 nonlinear dynamical system; discrete systems; neural network control; nonlinear industrial processes; time varying delay systems; unknown discrete nonlinear processes; Analytical models; Control systems; Delay systems; Electrical equipment industry; Industrial control; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Process control; Time varying systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
Type :
conf
DOI :
10.1109/IECON.1993.339058
Filename :
339058
Link To Document :
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